03b_image_processing/simulated_dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8db0f497-bab9-4e19-b7ee-11af06f0aa6d",
   "metadata": {},
   "source": [
    "# Simulation of image formation + image restoration\n",
    "In this notebook we artifically assemble a microscope image from simlulated nuclei, noise and background. Afterwards, we use classical image processing techniques to remove noise and background."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "74dbbf56-bc74-4bcf-a6cc-6d0f07696bc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyclesperanto_prototype as cle\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1ce24e52-2d89-424b-aee8-5900c479fa55",
   "metadata": {},
   "outputs": [],
   "source": [
    "image_size = (100, 100)\n",
    "\n",
    "# noise configuration\n",
    "noise_level = 2\n",
    "\n",
    "# background configuration\n",
    "camera_offset = 100\n",
    "background_sigma = 25\n",
    "background_intensity = 5\n",
    "\n",
    "# nuclei configuration\n",
    "nuclei_radius = 5\n",
    "nuclei_blur_sigma = 1\n",
    "nuclei_number = 10\n",
    "nuclei_intensity = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dbc22f26-5bd3-4651-b40e-c302bd8533b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# by pinning the random seed, we can make the code repeatable\n",
    "np.random.seed(42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d69ab67-53ec-4b74-9cb0-06bebf633bb3",
   "metadata": {},
   "source": [
    "## Noise\n",
    "Here we assume that the noise in the image is [Poisson distributed](https://en.wikipedia.org/wiki/Poisson_distribution), a common assumtion in microscopy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9cf55dac-720c-4de6-bfec-dfaba8e4d4ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "noise_image = np.random.poisson(noise_level, image_size)\n",
    "\n",
    "cle.imshow(noise_image, colorbar=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2cc3852-06b6-4edf-b27c-3fd090675b61",
   "metadata": {},
   "source": [
    "## Background\n",
    "Background intensity in fluorescence microscopy images typically comes from out-of-focus light. We can simulate this by placing light sources as single pixels and blurring them with a Gaussian filter. Furthermore, many microscope cameras have a so called camera offset. No pixel will ever have intensity below this value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0d9f867a-c694-4cad-8df3-fef65ef5dd5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(100,&nbsp;100)</td></tr>\n",
       "<tr><td>dtype</td><td>float32</td></tr>\n",
       "<tr><td>size</td><td>39.1 kB</td></tr>\n",
       "<tr><td>min</td><td>100.14104</td></tr><tr><td>max</td><td>105.0</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[102.02708 , 102.05994 , 102.09012 , ..., 100.354485, 100.342865,\n",
       "        100.3312  ],\n",
       "       [102.09299 , 102.12704 , 102.158325, ..., 100.38394 , 100.37136 ,\n",
       "        100.358734],\n",
       "       [102.1577  , 102.192924, 102.22533 , ..., 100.41521 , 100.4016  ,\n",
       "        100.387955],\n",
       "       ...,\n",
       "       [100.162254, 100.17418 , 100.18678 , ..., 100.57553 , 100.55186 ,\n",
       "        100.52856 ],\n",
       "       [100.15136 , 100.16256 , 100.17441 , ..., 100.53596 , 100.51383 ,\n",
       "        100.492065],\n",
       "       [100.14104 , 100.15154 , 100.16266 , ..., 100.49834 , 100.477684,\n",
       "        100.457375]], dtype=float32)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create empty image\n",
    "background = np.zeros(image_size)\n",
    "\n",
    "# place light sources\n",
    "background[20, 10] += 1\n",
    "background[50, 80] += 1\n",
    "background[60, 50] += 1\n",
    "\n",
    "# blur them massively\n",
    "background = cle.gaussian_blur(background, sigma_x=background_sigma, sigma_y=background_sigma)\n",
    "\n",
    "# normalize the image so that the maximum intensity has a defined value\n",
    "background = background / background.max() * background_intensity\n",
    "\n",
    "# add camera offsert\n",
    "background = background + camera_offset\n",
    "\n",
    "background"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1aafb78b-d6a4-4049-8b82-8ac9c53a66ef",
   "metadata": {},
   "source": [
    "## Nuclei\n",
    "Next we place nuclei in an image at random positions. We blur them a bit to simulate the [point-spread-function](https://en.wikipedia.org/wiki/Point_spread_function) of the microscope."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aff4c227-8b70-4f43-9570-be2361949a3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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mmv08ssvJ6RJRwM3DWemot3U2pw5c6yxud9NbydLw7lpN9Jw0eTWCpnvp/Lycmuf22vMXHl32xO55RRuiYFZjlBfX2/tq62ttcbmSr7bMsktnwCA0YoAMAUGEnBkZWWpoqJCFRUVIz8hAACAJAgAAQAImUyngDH6EQACABAyBIAIQgCIBJmowzJrsCTqsKLKPYuA2erFfa+VlZVZY/P95r6H++rBaTLbCpktnPrS0NDgb5unSZSk9vb2pPcFgNGCABAAgJBhBRBB6AMIAAAQMQSAAAAAEUMKGAkyUYdl1mBJ1GFFRbKek5Jdf+qeYcetMTXft/2dY7s/ydJd7vOac3Ln29HRMeDHBUYSKWAEIQAEACCECOKQDClgAACAiGEFEKMiDRf0SZU03Ohi/mzdVP+4cfbnyt7e3n7H7n3d95P5c3b3BZUYDEay15NsTnl5edY+t50RLYkAjFYEgAAAhAw1gAhCAAgAQMgQACIINYAAAAARwwogEmqe3LqmdNRhufejDis1BlOrZ37id38eEyZMsMZm3aV7/N1xW1ubNT516lSfzylJF154oTWeOnVqn8/Z1xxTJagmtqCgwN92X6t7TIFMYQUQQQgAAQAIGQJABOHjKgAAQMSwAggAQMiwAoggBIBIqFty65rMmifqsDIrqFbSPY3fYGr1zpw542+PH2//aXD7MH7pS1/yt816TMn+2UhSS0uLNf7000/73efWa54+fdrf7urqsvaN1D8o93Hd5zXn7NY3uj0PgUwhAESQ8P6nBAAAQJ8IAAEAACKGFDAAACFDChhBCACRULfk1jWZNU/UYaWfWffn1vi59XezZ8/ud797W7PHniS1t7f7227N5WWXXWaNv/zlL/vbbo9G977uz87s0/jxxx9b+9555x1rbP4s3XM89/T0WONkfQyDmPd1H9ftK9nU1ORvu+89974AMFoRAAIAEDKsACIIASAAACFDAIggBIBISFu5aS0z5eWmw1KVhnP/2JCG+yOz1Yubxi0vL7fGy5Yts8Zm+xY3Veumk//whz/0+ZxB93Xb7rg/92Q/2+LiYmvflClTrPG7777rb5s/cynxWJiCTlGYbE7ue62+vt4am/NIV0kEMFgEgAjCt4ABAAAihhVAAABChhVABCEABAAgZAgAEYQAEIEtV8yaJ7ceyq3hMg2mDiuo5i/KdVhmvZ3b5sWt+SsrK7PGZu1e0M8jGbfOzxwPp+WKy63rO3jwoL/9+uuvW/vMtjWSdNFFF/nbw2lN477XamtrrXFdXZ2/3dnZKQAYiwgAAQAIGVYAEYQAEACAkCEARBC+BQwAABAxrAAigVvXZNY8ufVQrmR955LVYQXV/EWpDsutqTOPm1sjZx5vKXm/vsHW6o0Ucx5uXeLkyZOtsVlraPYElKRjx45Z44KCAn+7sLCw332SfSpBya4pdfsNmu81d3/Yek4CiA4CQAAAQoYUMIKQAgYAAIgYVgCRwE1rmSmvmpoaa19DQ4M1NlOUbroyWRrOTbtFOQ3npkXz8vL8bfeYuinf4bR6yYRk6W5JmjRpkr998uRJa9///u//9vtYubm51j7zGEqJpw80x26LGLfEwHy/sUqC0YoVQAQhAAQAIGQIABGEABAAgBAiiEMy1AACAABEDCuASOB+ajRroBobG619bl2WWcPl1l0lq8Nya7KiXIflnnbNPG5uHaVbMzfaa/5cQach/Pzzz/3tzz77zNrnvmfM98T//d//WfvcY9rb29vvfcP2fkI0kQJGEAJAAABChgAQQUgBAwAARAwrgAAAhAwrgAhCAIhA5h+C7u5ua197e7s17ujo8Lfd07slq8Nye/lF+Y+PW59m1rq5pzBza+bGwnEz5+j+3N33jNnv0d3nvhfNx3WPIQDARgoYAAAgYlgBBAAgZEgBIwgBIFIqWboYA+OmRc0UsHuKPDctmiyVPpgWMe4ffzelOpgUq/tY5hzd+dfX11tj8/WOxXQ3kCkEgAhCChgAACBiWAEEACBkWAFEEAJAAABChgAQQQgAgVEm2enR3BpAt2auuLi438fNzs62xm5NYLI2Ku6p+MzaPbfu8IILLhjwfd3519bWWuO6urp+HwcD4/6czffBYE6RJxEUjCUEgAhCDSAAAEDEsAIIAEDIsAKIIASAAACEDAEgghAAAqOcWftm1sRJiTVzrtLSUn87Pz/f2heLxayxWWvo9uf75JNPrPH777/f5/0kacqUKdb4888/t8ZmHaNb0+i+PnO/W48WZcnq+nJycqx97s85Ly+vz23J7jnZ19j8Wbs1mdQLAmMLNYAAAAARwwogAAAhQwoYQVgBBAAAiBhWAIFRzqytcmvmampqrHFDQ4M1jsfjfW5LUkFBgTVuaWnp93lOnjxpjc3+fe45nydOnGiNk9WVufWDyerKorwi4db8uXV+5s929uzZ/e5zx8neA1Li+8AcJ6vXlOyfZZR/dpnS29s7qHN293V/hBsBIAAAIUMKGEFIAQMAAEQMK4DAKGd+EndTpI2NjdbYTdWaLUDclh/JWoAka/8hSWfPnu1zflJiujLZ6cVYZRgY9zR+blq3vLzc3162bJm1z2wFJNntgJK1ApIS2wGZqX+3BZFbjmC+N90yAYy8dK8Abtu2Tdu2bdPHH38sSZo7d66+973v6cYbbxzyHDCyCAABAAiZdAeAxcXFevrpp/Vnf/ZnkqRdu3bp61//ut555x3NnTt3yPPAyCEFnGJVVVXKysrSunXr/Os8z1NFRYWKioo0ceJELV26VMeOHcvcJAEAoeZ5nv9FkKFcBhsA3nzzzbrpppt0ySWX6JJLLtFTTz2lKVOm6ODBgyP0CjFcBIApdOjQIW3fvl1XXHGFdf2zzz6rLVu2aOvWrTp06JDi8bjKy8t16tSpDM0UAIBgbW1t1sUtE+hLT0+P9u7dq46ODl177bVpmCWGghRwirS3t+uuu+7Sjh07tHnzZv96z/NUXV2tjRs3auXKlZLOLY0XFhZqz549euCBBzI1ZYxB7qdyt7aqvb3dGnd0dPjbbj3XuHH25z+zVo/Teo0ubtsXt9WLWfdXVlZm7XNPAWjWE7r1mu7P2X0fFBcX9ztHtwWRWY/qvi8x8lKVAi4pKbGu37RpkyoqKvq8z9GjR3Xttdeqs7NTU6ZM0QsvvKDLLrtsyHPAyGIFMEVWr16tFStWJBRg19fXq6mpScuXL/evi8ViWrJkiQ4cONDv43V1dSV88gIAYCDOB4DDuUjnvszT2trqXzZs2NDvc86ePVtHjhzRwYMH9a1vfUv33nuvdd5wjC6sAKbA3r179fbbb+vQoUMJ+843Ry0sLLSuLyws1PHjx/t9zKqqKj3xxBOpnSgAAIOQl5eX0DGgPxMmTPC/BLJw4UIdOnRIf//3f69//ud/HskpYohYARymxsZGrV27Vrt3705I05j6SrW415k2bNhgfepy230AANCfVK0ADncOA6kZRGawAjhMhw8fVnNzsxYsWOBf19PTo9dee01bt271T5fU1NSk6dOn+7dpbm5OWBU0xWKxhB5dwGCZf8TpxTa2mB8Q3b8Fbh9As9efW/PnfjBN9sHTlSwIcPsLunMy52zWogY9LlIj3W1gHn/8cd14440qKSnRqVOntHfvXr366qt66aWXhjwHjCwCwGG64YYbdPToUeu6+++/X3PmzNGjjz6qiy++WPF4XDU1NZo/f76kc0109+/fr2eeeSYTUwYAIKU+/fRT3XPPPTpx4oTy8/N1xRVX6KWXXrKalGN0IQAcptzcXM2bN8+6bvLkyZo6dap//bp161RZWalZs2Zp1qxZqqys1KRJk3TnnXdmYsoAgJA7389vOPcfjB/96EdDfi5kBgFgGjzyyCM6c+aMVq1apS+++ELXXHONXn75ZeXm5mZ6agBGKbNdi1uE76ZbzbSve9q4waR8Xe59zcd2U83unMw5uy2IKEcYeelOAWPsIQAcAa+++qo1zsrKUkVFRb+9kwAAANKJABAAgJBhBRBBCAABAAgZAkAEIQAEgFHIPFWfWwNYUFBgjc2WK8Op+QuSrDWNOydzzu5pBzHy0v0lEIw9/FYCAABEDCuAAACEDClgBCEABAAgZAgAEYQAEABGIbMGq62tzdrX0tJijc3zrY7kP27zsd1zvLpzMudMPRkw+hAAAgAQMqwAIggBIAAAIUMAiCAEgAAwCvX09Pjbbgq4qanJGpunWjPvJyX+Ix9Mmxj3vuZju6d3c+dkztmdE4DMIwAEACBk6AOIIASAAACEDClgBKERNAAAQMSwAggAo1CylituvV19fb2/XVxcnPRxs7Oz/W23HjBZzZ9k1/2Zz9nXnNLVmgb947gjGQJAAABChhQwghAAAgAQMnwJBEGoAQQAAIgYVgABYJTr7Oy0xnV1dda4tra23/uWlpZa4/z8fH87FotZ+9xaQ7fXn1n35z6nOyd3zkgvUsAIQgAIAEDIEAAiCClgAACAiGEFEACAkGEFEEEIAAFglHP78bk992pqavzthoYGa188Hu93XFBQYO1raWlJ+jzm2K35c2/L+X8ziwAQQUgBAwAARAwrgAAAhAx9ABGEABAARjk3Hee2WGlsbPS3T548ae1zW73k5eX1uS1JbW1tScdmmxh3Dm7KlxRiZpECRhBSwAAAABHDCiAAACHDCiCCEAACABAyBIAIQgAIAGOM+8+5u7vb325vb7f2dXR0WGPz9G7jxtlVQG7hP3V9YxdfAkEQagABAAAihhVAAABChhQwghAAAgAQMgSACEIACAAhlqxeEEB0EQACABAyrAAiCAEgAAAhRBCHZPgWMAAAQMSwAggAQMiQAkYQAkAAAEKGABBBSAEDAABEDCuAAACEDCuACEIACABAyBAAIggBIAAAIUMAiCDUAAIAAEQMK4AAAIRMb2+vent7h3V/hBsBIAAAIUMKGEFIAQMAAEQMK4AAAIQMK4AIQgAIAEDIEAAiCClgAACAiGEFEACAkGEFEEEIAAEACBkCQAQhBQwAABAxrAACABAyrAAiCAEgAAAhQwCIIASAAACEDAEgglADCAAAEDGsAAIAEDKsACIIASAAACHjeZ56e3uHdX+EGylgAACAiGEFEACAkCEFjCAEgAAAhAwBIIKQAgYAAMNSVVWlq6++Wrm5uZo2bZpuueUW1dXVZXpaSIIAEACAkDm/Ajicy2Ds379fq1ev1sGDB1VTU6Pu7m4tX75cHR0dI/QKMVwEgCnyySef6O6779bUqVM1adIkXXnllTp8+LC/3/M8VVRUqKioSBMnTtTSpUt17NixDM4YABBW6Q4AX3rpJd13332aO3euvvrVr2rnzp1qaGiw/g9idCEATIEvvvhC1113nS644AL98pe/1Pvvv68f/OAH+pM/+RP/Ns8++6y2bNmirVu36tChQ4rH4yovL9epU6cyN3EAQCilKgBsa2uzLl1dXQN6/tbWVklSQUHBiL1GDA8BYAo888wzKikp0c6dO/W1r31NF110kW644QZ95StfkXTuF7G6ulobN27UypUrNW/ePO3atUunT5/Wnj17Mjx7AAD6VlJSovz8fP9SVVUVeB/P87R+/XotXrxY8+bNS8MsMRQEgCnw4osvauHChbr11ls1bdo0zZ8/Xzt27PD319fXq6mpScuXL/evi8ViWrJkiQ4cONDnY3Z1dSV88gIAYCBStQLY2Nio1tZW/7Jhw4bA516zZo3ee+89/eQnPxnpl4lhIABMgY8++kjbtm3TrFmz9B//8R968MEH9fDDD+vHP/6xJKmpqUmSVFhYaN2vsLDQ3+eqqqqyPnWVlJSM7IsAAIRGqgLAvLw86xKLxZI+70MPPaQXX3xRv/71r1VcXJyOl4ohIgBMgd7eXl111VWqrKzU/Pnz9cADD+iv//qvtW3bNut2WVlZ1tjzvITrztuwYYP1qauxsXHE5g8AwHB4nqc1a9Zo3759euWVV1RaWprpKSEAjaBTYPr06brsssus6y699FL97Gc/kyTF43FJ51YCp0+f7t+mubk5YVXwvFgsFvhJCwCAvqS7EfTq1au1Z88e/fznP1dubq6f3crPz9fEiROHPA+MHFYAU+C6665LaHj5wQcfaObMmZKk0tJSxeNx1dTU+PvPnj2r/fv3a9GiRWmdKwAg/NLdBmbbtm1qbW3V0qVLNX36dP/y/PPPj9ArxHCxApgC3/72t7Vo0SJVVlbqL/7iL/Tmm29q+/bt2r59u6Rzqd9169apsrJSs2bN0qxZs1RZWalJkybpzjvvzPDsAQAYHk4dN/YQAKbA1VdfrRdeeEEbNmzQk08+qdLSUlVXV+uuu+7yb/PII4/ozJkzWrVqlb744gtdc801evnll5Wbm5vBmQMAwohzASNIlsdPeUxoa2tTfn5+pqcBABim1tZW5eXljchjn/9fsWbNmmHVkXd1dWnr1q0jOldkFjWAAAAAEUMKGACAkCEFjCAEgAAAhAwBIIIQAAIAEDIEgAhCDSAAAEDEsAIIAEDIsAKIIASAAACEDAEggpACBgAAiBhWAAEACCFW8ZAMASAAACFDChhBSAEDAABEDCuAAACEDCuACEIACABAyBAAIggpYAAAgIhhBRAAgJBhBRBBCAABAAgZAkAEIQAEACBkCAARhBpAAACAiGEFEACAkGEFEEEIAAEACBkCQAQhBQwAABAxrAACABAyrAAiCAEgAAAhQwCIIKSAAQAAIoYVQAAAQoYVQAQhAAQAIGQIABGEFDAAAEDEsAIIAEDIsAKIIASAAACEDAEgghAAAgAQMgSACEINIAAAQMSwAggAQMiwAoggBIAAAIQMASCCkAIGAACIGFYAAQAIIVbxkAwBIAAAIUMKGEFIAQMAAEQMK4AAAIRMb2+vent7h3V/hBsBIAAAIUMKGEFIAQMAAEQMK4AAAIQMK4AIQgAIAEDIEAAiCAEgAAAhQwCIINQAAgAARAwrgAAAhAwrgAhCAAgAQMgQACIIKWAAAICIYQUQAICQYQUQQQgAAQAIGQJABCEFDAAAEDGsAAKjXFZWlr+dnZ1t7Rs3zv4M557Avaenx9/mEz0QHb29vQl/DwZ7f4QbASAAACFDChhBSAEDAABEDCuAAACEDClgBCEABDIgWV1fTk6ONY7FYv52Xl6etc8dt7W19Tvu6uqy9nV2dlpj6gWB8CAFjCAEgAAAhIznecNaxSMADD9qAAEAACKGFUAAAEKGFDCCEAACaWDW/El2nV88Hrf2zZ492xqb+93bFhQUWOOWlhZr3NTU1Oe2JNXV1fV7W7c+kH8GwNhCAIggpIABAAAihhVAAABChjYwCEIACKSB2+rFTOWWl5db+5YtW2aNS0tL/e38/Hxrn9kiRkps9dLa2upv19fXW/tqa2utcU1Njb/d2Nho7evu7haAsSPdKeDXXntN3//+93X48GGdOHFCL7zwgm655ZYhPz9GHilgAAAwLB0dHfrqV7+qrVu3ZnoqGCACwBTo7u7Wd7/7XZWWlmrixIm6+OKL9eSTT1pL6J7nqaKiQkVFRZo4caKWLl2qY8eOZXDWAICwOp8CHs5lMG688UZt3rxZK1euHKFXhFQjBZwCzzzzjH74wx9q165dmjt3rt566y3df//9ys/P19q1ayVJzz77rLZs2aJ/+Zd/0SWXXKLNmzervLxcdXV1ys3NzfArAACESapSwO7ZhWKxWELpCcYmAsAU+M///E99/etf14oVKyRJF110kX7yk5/orbfeknTuF6m6ulobN270Px3t2rVLhYWF2rNnjx544IGMzR3p4Z7ezWz14tb8lZWVWWOz7s+tJXTby7h/8M3TuxUXFyedY0NDg7998uRJa197e3vS+wIIp5KSEmu8adMmVVRUZGYySClSwCmwePFi/epXv9IHH3wgSXr33Xf1xhtv6KabbpJ0rvi+qalJy5cv9+8Ti8W0ZMkSHThwoM/H7OrqUltbm3UBAGAgzq8ADucinftCWGtrq3/ZsGFDhl8ZUoUVwBR49NFH1draqjlz5ig7O1s9PT166qmndMcdd0j6Y4PdwsJC636FhYU6fvx4n49ZVVWlJ554YmQnDgAIpVS1gcnLy1NeXl6qpoVRhBXAFHj++ee1e/du7dmzR2+//bZ27dqlv/u7v9OuXbus2/WVrnOvO2/Dhg3Wpy63LQcAAP1J1QogwosVwBT4zne+o8cee0y33367JOnyyy/X8ePHVVVVpXvvvdfv+dbU1KTp06f792tubk5YFTyPQtuxzQ3s3Z+l2QfQ7PMnJfb6M+sH+/vA0J9kf8Td5zXn5M63o6NjwI8LIHra29v129/+1h/X19fryJEjKigo0IwZMzI4M/SHFcAUOH36tMaNsw9ldna2v4ReWlqqeDxuNdo9e/as9u/fr0WLFqV1rgCA8Et3G5i33npL8+fP1/z58yVJ69ev1/z58/W9731vJF4eUoAVwBS4+eab9dRTT2nGjBmaO3eu3nnnHW3ZskXf/OY3JZ1btVm3bp0qKys1a9YszZo1S5WVlZo0aZLuvPPODM8eABA26T4TyNKlS8kMjDEEgCnwj//4j/rbv/1brVq1Ss3NzSoqKtIDDzxgffJ55JFHdObMGa1atUpffPGFrrnmGr388sv0AAwpt12LW0RtplvdlG9Qq5fBMO/rPq77vOac3Pmap5STODUcAIx1BIApkJubq+rqalVXV/d7m6ysLFVUVNA/CQAw4tK9AoixhwAQAICQ8TxvWG1gCADDjy+BAAAARAwrgMAIcL8V7tbUFRQU+Ntuy5Xh1PwlE9SaxpyTO1/39QAY3UgBIwgBIAAAIdPb2zusD5PDSR9jbOBjPQAAQMSwAggAQMiQAkYQAkBgBLjpk7a2Nmvc0tLib3d1dVn7RuoPr/u47vOac3LnSzoIGFtIASMIASAAACHDCiCCUAMIAAAQMawAAiOgp6fHGrsp1aamJn/bPc2ae1/zk/hgUzrmfd3HdZ/XnJM7X/e+iKZkpxZ0WwWZKcRk72mMDFYAEYQAEACAkKEGEEFIAQMAAEQMK4AAAIQMKWAEIQAERkBQyxWz3q6+vt7aV1xc3O/junVXborHfV6z9sqt+XOf15xTulrTILPc94/7/srJybHG5ukD3dMFumOzjtStKXXfX52dnf429YKpQQoYQUgBAwAARAwrgAAAhAwpYAQhAAQAIGQIABGEABBIA7PGSZLq6ur87dra2qT3LS0t9bfz8/OtfWZNlpRYW2XW/bk1f+7zmnNy54vwMOvC3Bq/eDxujWfPnt3vfve2BQUF1tg8taBZX9rX2Hzvufvc9yKBCZAaBIAAAIQMXwJBEAJAAABCiNVSJEMACABAyFADiCAEgEAauL3NzDqnmpoaa19DQ4M1Hmrdlfs8yequ3P2c+ze8zF5/7vupvLzcGi9btswaD7UeNagHpVmP6v4+NDY2WuPu7m4BGD4CQAAAQoYVQAQhAAQAIGQIABGEABBIA/ePqdnawk1xnTx50hoP9fRb7jjZ6bckO+3LH//wMlu/uG1e3JRvWVmZNTbTvoM5LaFbUpDsdIduCYT7+9De3t7vfQEMHAEgAAAhM9w2LrSBCT8CQAAAQoYUMIKMy/QEAAAAkF6sAAIZYH66dttauDVOHR0d/rbbTmPcOPsznJu2oa4v9cxaN7cOLtnPw62DS9fPw63NM2tK3TYwZpsXKbHVi1k/OJizTAS9VvN53Tm57WXM34eBPHZUsQKIIASAAACEDAEggpACBgAAiBhWAAEACBlWABGEABAY5ZLVCyI1ktX1mXVv0tD7Mro9GtPVl9F9PeYc3Xo7t+YvqNffQLn3cx/XfF53Tu4xdetg+Z3oGwEgghAAAgAQMvQBRBBqAAEAACKGFUAAkeOmJM00r5uCdE+XZu53b1tQUGCNW1pa/O2mpiZrnzuuq6vrd7+bHh5Mes5tTWOmVN35ui1XhpryDZKsNY07JzcF7L4e9I0UMIIQAAIAEDIEgAjCRykAAICIYQUQAICQYQUQQQgAAUSO24bErOUrLy+39i1btswam6ctc9umuDV0ZqsXt31JfX29Na6trbXGNTU1/nZjY6O1bzCtT9xvc5rtaMwaRXe+0sgFAe7jms/rzsltn8O3UweGABBBSAEDAABEDCuAAACEDCuACEIACABAyHieN6x0OQFg+BEAAogc9/RuZq8/t+avrKzMGpt1f0GnSjP/iZqndpOk4uLipHNsaGjwt0+ePGnta29vT3pfk/u8Zk2d24vQrVN072u+nsH0CHSDCfdxzed15+TWALr3BTA0BIAAAITMcFfwWAEMPwJAAABChgAQQQgAAYReslOPSXYbGLPNi5TY6sVMHw8nDepyn9eckzvfjo6OAT92spYrbrrVbU2TLE09nPR3spY47pzS1ZombAgAEYQ2MAAAABHDCiAAACHDCiCCEAACABAyBIAIQgAIIPTcerW8vDxrbNbbuTV/QbVuA+Xez31c93nNObnzdWvoBnNquM7OTn+7rq7O2ueejs6VjtPguXMy5wsgdQgAAQAImd7e3iF/WJFYAYwCAkAAAEKGFDCC8C1gAACAiGEFEEDojRtnf9Z1a+oKCgr8bbeWbThptGSCehOac3Ln676ewTB78rk992pqaqyxeTo6ya5LNLcle76S1NLS0u/zuGOz7s/dx6nfhoYVQAQhAAQAIGQIABGEFDAAAEDEsAIIAEDIsAKIIASAAEKvt7fXGre1tVljs14tXeeeTXaOXndO7nzd1zPU53V77DU2NlrjkydPWmOzTtGtS3TH5pzd+buv1ZyHW/NHIDI0BIAIQgAIAEDI0AcQQagBBAAAiBhWAAGEnptWPHXqlDX+7LPP/O3Tp09b+9yVEHM8mBWWZI/T1/Oac3Lnm6rWKO4c3FPKtbe3W+OOjg5/2z29m9uaxkxTk9ZNv0ylgJ977jl9//vf14kTJzR37lxVV1errKxsWHPByGAFEACAkPE8b9iXwXr++ee1bt06bdy4Ue+8847Kysp04403JvSTxOhAAAgAAIZty5Yt+su//Ev91V/9lS699FJVV1erpKRE27Zty/TU0AdSwGMEKRNg6NzfH/dbtGfPnvW33bSn+w3WCRMm+NvDSQGbz9nX85r73flm6u+B+bxBKe1kt426dB2PVDyP+/6PxWIJZ62Rzr1fDx8+rMcee8y6fvny5Tpw4MCw54HUIwAcI9waIABDZ7ZYkaQf//jHfW6jf25dH6dsG7hTp04pPz9/RB57woQJisfjCafUG4opU6aopKTEum7Tpk2qqKhIuO1nn32mnp4eFRYWWtcXFhamZC5IPQLAMaKoqEiNjY3yPE8zZsxQY2NjQt8t/FFbW5tKSko4TgE4TgPDcRoYjlNynufp1KlTKioqGrHnyMnJUX19fcIK81B4nhd4zmqXe/u+HgOjAwHgGDFu3DgVFxf7y/F5eXn8gR0AjtPAcJwGhuM0MByn/o3Uyp8pJydHOTk5I/48pgsvvFDZ2dkJq33Nzc0Jq4IYHfgSCAAAGJYJEyZowYIFqqmpsa6vqanRokWLMjQrJMMKIAAAGLb169frnnvu0cKFC3Xttddq+/btamho0IMPPpjpqaEPBIBjTCwW06ZNmwLrMKKO4zQwHKeB4TgNDMcp2m677TZ9/vnnevLJJ3XixAnNmzdPv/jFLzRz5sxMTw19yPL4fj4AAECkUAMIAAAQMQSAAAAAEUMACAAAEDEEgAAAABFDADiGPPfccyotLVVOTo4WLFig119/PdNTyqiqqipdffXVys3N1bRp03TLLbeorq7Ouo3neaqoqFBRUZEmTpyopUuX6tixYxma8ehQVVWlrKwsrVu3zr+O43TOJ598orvvvltTp07VpEmTdOWVV+rw4cP+fo6T1N3dre9+97sqLS3VxIkTdfHFF+vJJ5+0zlfMcQLGAA9jwt69e70LLrjA27Fjh/f+++97a9eu9SZPnuwdP34801PLmD//8z/3du7c6f33f/+3d+TIEW/FihXejBkzvPb2dv82Tz/9tJebm+v97Gc/844ePerddttt3vTp0722trYMzjxz3nzzTe+iiy7yrrjiCm/t2rX+9Rwnz2tpafFmzpzp3Xfffd5//dd/efX19V5tba3329/+1r8Nx8nzNm/e7E2dOtX793//d6++vt776U9/6k2ZMsWrrq72b8NxAkY/AsAx4mtf+5r34IMPWtfNmTPHe+yxxzI0o9GnubnZk+Tt37/f8zzP6+3t9eLxuPf000/7t+ns7PTy8/O9H/7wh5maZsacOnXKmzVrlldTU+MtWbLEDwA5Tuc8+uij3uLFi/vdz3E6Z8WKFd43v/lN67qVK1d6d999t+d5HCdgrCAFPAacPXtWhw8f1vLly63rly9frgMHDmRoVqNPa2urJKmgoECSVF9fr6amJuu4xWIxLVmyJJLHbfXq1VqxYoWWLVtmXc9xOufFF1/UwoULdeutt2ratGmaP3++duzY4e/nOJ2zePFi/epXv9IHH3wgSXr33Xf1xhtv6KabbpLEcQLGCs4EMgZ89tln6unpSTihdmFhYcKJt6PK8zytX79eixcv1rx58yTJPzZ9Hbfjx4+nfY6ZtHfvXr399ts6dOhQwj6O0zkfffSRtm3bpvXr1+vxxx/Xm2++qYcfflixWEzf+MY3OE7/36OPPqrW1lbNmTNH2dnZ6unp0VNPPaU77rhDEu8nYKwgABxDsrKyrLHneQnXRdWaNWv03nvv6Y033kjYF/Xj1tjYqLVr1+rll19WTk5Ov7eL+nHq7e3VwoULVVlZKUmaP3++jh07pm3btukb3/iGf7uoH6fnn39eu3fv1p49ezR37lwdOXJE69atU1FRke69917/dlE/TsBoRwp4DLjwwguVnZ2dsNrX3Nyc8Ck7ih566CG9+OKL+vWvf63i4mL/+ng8LkmRP26HDx9Wc3OzFixYoPHjx2v8+PHav3+//uEf/kHjx4/3j0XUj9P06dN12WWXWdddeumlamhokMT76bzvfOc7euyxx3T77bfr8ssv1z333KNvf/vbqqqqksRxAsYKAsAxYMKECVqwYIFqamqs62tqarRo0aIMzSrzPM/TmjVrtG/fPr3yyisqLS219peWlioej1vH7ezZs9q/f3+kjtsNN9ygo0eP6siRI/5l4cKFuuuuu3TkyBFdfPHFHCdJ1113XUIboQ8++MA/kT3vp3NOnz6tcePsfx3Z2dl+GxiOEzBGZPALKBiE821gfvSjH3nvv/++t27dOm/y5Mnexx9/nOmpZcy3vvUtLz8/33v11Ve9EydO+JfTp0/7t3n66ae9/Px8b9++fd7Ro0e9O+64g3YUnmd9C9jzOE6ed65Fzvjx472nnnrK+/DDD71//dd/9SZNmuTt3r3bvw3HyfPuvfde78tf/rLfBmbfvn3ehRde6D3yyCP+bThOwOhHADiG/NM//ZM3c+ZMb8KECd5VV13ltzuJKkl9Xnbu3Onfpre319u0aZMXj8e9WCzmXX/99d7Ro0czN+lRwg0AOU7n/Nu//Zs3b948LxaLeXPmzPG2b99u7ec4eV5bW5u3du1ab8aMGV5OTo538cUXexs3bvS6urr823CcgNEvy/M8L5MrkAAAAEgvagABAAAihgAQAAAgYggAAQAAIoYAEAAAIGIIAAEAACKGABAAACBiCAABAAAihgAQAAAgYggAAQAAIoYAEAAAIGIIAAEAACKGABAAACBiCAABAAAihgAQAAAgYggAAQAAIoYAEAAAIGIIAAEAACKGABAAACBiCAABAAAihgAQAAAgYggAAQAAIoYAEAAAIGIIAAEAACKGABAAACBiCAABAAAihgAQAAAgYggAAQAAIoYAEAAAIGIIAAEAACKGABAAACBiCAABAAAi5v8BxP2GESW7jHsAAAAASUVORK5CYII=\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(100,&nbsp;100)</td></tr>\n",
       "<tr><td>dtype</td><td>float32</td></tr>\n",
       "<tr><td>size</td><td>39.1 kB</td></tr>\n",
       "<tr><td>min</td><td>0.0</td></tr><tr><td>max</td><td>5.0</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# retrieve a defined number of random positions\n",
    "nuclei_positions = np.random.random((nuclei_number, 2)) * image_size\n",
    "\n",
    "# write 1 at these locations\n",
    "nuclei_image = cle.pointlist_to_labelled_spots(nuclei_positions.T, np.zeros(image_size))\n",
    "nuclei_image = (nuclei_image > 0) * nuclei_intensity\n",
    "\n",
    "# enlarge the nuclei by a define radius\n",
    "nuclei_image = cle.maximum_sphere(nuclei_image, radius_x=nuclei_radius, radius_y=nuclei_radius)\n",
    "\n",
    "# blur the image to make it look more realistic\n",
    "nuclei_image = cle.gaussian_blur(nuclei_image, sigma_x=nuclei_blur_sigma, sigma_y=nuclei_blur_sigma)\n",
    "\n",
    "nuclei_image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10f2dda4-a4c5-4d59-a0bc-c702d4ff9213",
   "metadata": {},
   "source": [
    "## Image formation\n",
    "A microscopy image is the sum of the scence and the effect described above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2e7408b3-0bc0-4c59-99be-091f6dccf9b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sum_image = np.asarray(noise_image + background + nuclei_image)\n",
    "\n",
    "cle.imshow(sum_image, colorbar=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e67e21db-1fb0-4c04-b86f-1ed75f8c0b41",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Image segmentation\n",
    "If we now applied a segmentation algorithm to this image as it is, it might lead to a wrong result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c91246ea-1cf4-49cb-805c-91999c609c4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(100,&nbsp;100)</td></tr>\n",
       "<tr><td>dtype</td><td>uint8</td></tr>\n",
       "<tr><td>size</td><td>9.8 kB</td></tr>\n",
       "<tr><td>min</td><td>0.0</td></tr><tr><td>max</td><td>1.0</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[1, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0]], dtype=uint8)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binary = cle.threshold_otsu(sum_image.astype(np.float32))\n",
    "\n",
    "binary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc9ca967-a855-4559-b67e-8359683be5c8",
   "metadata": {},
   "source": [
    "## Background removal\n",
    "To fix this problem, we need to remove the background intensity first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6367a28b-b597-4e16-b22d-d43b1274491b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(100,&nbsp;100)</td></tr>\n",
       "<tr><td>dtype</td><td>float32</td></tr>\n",
       "<tr><td>size</td><td>39.1 kB</td></tr>\n",
       "<tr><td>min</td><td>0.0</td></tr><tr><td>max</td><td>12.833778</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[3.8403397 , 0.87319946, 2.9033813 , ..., 1.9769974 , 0.9653778 ,\n",
       "        0.        ],\n",
       "       [2.90625   , 2.9403    , 0.97158813, ..., 0.98750305, 0.9749222 ,\n",
       "        2.9622955 ],\n",
       "       [0.9647751 , 0.        , 0.94418335, ..., 0.98648834, 0.97288513,\n",
       "        0.95923615],\n",
       "       ...,\n",
       "       [1.9481506 , 2.9600754 , 0.97267914, ..., 1.9328156 , 1.9091415 ,\n",
       "        0.88584137],\n",
       "       [0.        , 0.9756546 , 1.987503  , ..., 0.        , 0.        ,\n",
       "        1.9782333 ],\n",
       "       [2.9896774 , 1.988884  , 0.        , ..., 1.9623795 , 2.963852  ,\n",
       "        0.9435425 ]], dtype=float32)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "background_removed = cle.top_hat_box(sum_image, radius_x=10, radius_y=10)\n",
    "\n",
    "background_removed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fb92440-6255-414b-bc65-019e77658f65",
   "metadata": {},
   "source": [
    "## Noise removal\n",
    "We can also remove the noise from the image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0d7c19a9-602e-4960-8763-c845e098b34a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(100,&nbsp;100)</td></tr>\n",
       "<tr><td>dtype</td><td>float32</td></tr>\n",
       "<tr><td>size</td><td>39.1 kB</td></tr>\n",
       "<tr><td>min</td><td>101.35629</td></tr><tr><td>max</td><td>111.36778</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[104.74284 , 104.3482  , 104.095535, ..., 101.47704 , 101.363914,\n",
       "        101.35629 ],\n",
       "       [104.30064 , 104.044365, 103.93013 , ..., 101.66889 , 101.658714,\n",
       "        101.65071 ],\n",
       "       [104.04146 , 103.820206, 103.74111 , ..., 101.83249 , 101.82167 ,\n",
       "        101.675224],\n",
       "       ...,\n",
       "       [102.205376, 101.97187 , 101.775345, ..., 102.33887 , 102.285355,\n",
       "        101.99471 ],\n",
       "       [101.98917 , 101.82425 , 101.76516 , ..., 102.513435, 102.288475,\n",
       "        102.136536],\n",
       "       [102.05105 , 101.98929 , 101.72292 , ..., 102.66122 , 102.23012 ,\n",
       "        101.940834]], dtype=float32)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noise_removed1 = cle.mean_sphere(sum_image, radius_x=3, radius_y=3)\n",
    "\n",
    "noise_removed1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cda35368-b92f-465a-aead-21f952917c5c",
   "metadata": {},
   "source": [
    "And this can also be done on the background-subtracted image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "acb11be1-29e6-4c68-b937-4755ef3633c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
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3/jGN+Kqq66Knp6e8W6mOQH8BtAYY4wxw9LX11d5u1t6+7djx474/ve/H4888sh4m2ZOEC8Am4zBwcF6uEHDKgw5MIyr4SeGYpcsWVLZZphXw8cM8zDkkpU4Y8hFw2OaBmK4baanUBhWYahNQzsMu7HEk55LH2bl9Xgfhs5oo4aPGT5iW88555wR7WcIj/fV/snSmdAmhrxoo4bWeGwWwo6ojhHaxPCetpehTYYVtb94XfYlz1VfZBKIiGq4lW3lsdofvC7D0ExvoueWSojptbNSaYThboY2OZ937txZ/8zxn4WPS+XdNB0Q+442ZmUimUqH91Gb6H/2nY4R2s+xSDmI3qcZw77K6aef3vDcz9i0aVN0dnbG1VdfPY5WmbHAC0BjjDGmxZiMSiBDQ0OxadOmuP766xv0l+bkwxpAY4wxxpww3//+92Pnzp3x2c9+drJNMW8DL9GNMcYYc8KsXr3aNYSbCC8AmxidaNSv8PW76oJYVi3T/EVE5T+5mLKE2heFGqFMb5eVbIpo1AGpPofaqexa9EuWDoT6J2p5svJuBw8erOyjVkz7jno0plxRG0t6Iuq/VBtaKlumfivdR/VeJR1o1j7qQolqrUopV3Sb4yXTd0VUywVSR5ml9KEulKXtFi1aVP9c0iUuWLCgsq3zg1o2jhH1DfXAnO/avkx3GNHYP9oGtoeoTZyTHKeZxpc2UgOYlUfkmNdxwefTaJ6ZJZ2l9oGOvYnUA05GCNg0Fw4BG2OMMca0GV4AGmOMMca0GQ4BG2OMMS2GQ8CmhBeATcbQ0FCD/iSirItRDQtzWLGIN7O3n3nmmfXP8+fPr+yjbmk4247Dcm+q++E+amWo6dqxY0f9Mx9UbLueS00T9V2qA6Kuh9o2nqslk2gTtWLadvYH9V2qJ+R1aBPLNmmJLWo9qVNUTdfSpUtH3BfRqJdSSjnrVM/GvqLGdNeuXfXP9Dfvoz6nH2h/VupuNNqwUhlFHXvUSvI+WRkz6nKZr0+PLeXqVF9Q20b9YJZjk3OSc199zGM5t9SP1GvSBvaltpcaTM539QXnQ6kvFdrIeahzWu/Z7DkBTWvhBaAxxhjTYvgNoClhDaAxxhhjTJvhN4BNxowZM+rhHk1lwfAFQ1waJsnKhUU0hoA1RMywCcMkmhaG4ReGSTQMxHsyPJmVEytlnNfQYamkk96HIcdSeTQerzAkqfdlGI7HZmkkGFqjL7R/9uzZU9nH/shCt7yujhm+KeBY5DjQMcLrsn1qP1OhZLIHjn/aQJ9r6JChzMwvTIPE0KaGK2kv/c++zMKFWWku+p/zXcdTKVUT0f2co/SptpdhW9qkaZJYBpI+5njT+cK2c05qiJtzn+h9OE5pf1ZmUcew36qZkwkvAI0xxpgWwyFgU8IhYGOMMcaYNsMLQGOMMcaYNsMh4Cajo6Ojrh1SHRY1KlmKjJJ2jWXLVPdHPQ51P2oH76PltiKqGsb+/v7KPuqlqLlR7RI1jET1UtQ4ZWW/Ms3icKjNvC61knof6rCI2sFj6ePSfoX9rH3HdCBZ37GvqK2i37S/OPaog9NrMz0O76tasM7OztSGTDPLvqNNOp4y7Rcp6TczzSlL1xEdI7wP56hqKRnmK6VgUTuos+Qc1j6gfpP3UV/wGUP9JseXppDic5DpcnTsZX1Fm0tpnThm1Ea9jkvBmZMJvwE0xhhjjGkz/AbQGGOMaTH8BtCU8BtAY4wxxpg2w28Am4zDhw/XdS6qP2LuOGphVLtDvQr1LNSN6bWoG+O3RNValXSJmQ1Z7rKIqqaO+ihqAnWb16WNqjcarQZQjy/5VO/DY6ltUw0Rr0O/UPOkNlNbRV+oTexXXlc1TtzHHHVZabJSiTnVxdEv7GfdTy0k70M9oWoCWZaQflPtGHPW0X7tW+oO6ReOY7WDOj6OTe0vauR4XbWR1+Gx3K+UtHnaXmpI2ZfaP7wntXrsS71v1taIqgavVBZSbWTbeC7nkvaH2lsqk2jMROIFoDHGGNNiOARsSngBaIwxxrQgXsSZDC8Am4yjR48Om76gVFJLw2UMQzB8wfCMwjAowyZqG+1kWE5t4nWZNoLX0tQ0DH/TJr12KYStoWWGZunjrOQW077Q51najqx/eN0dO3ZUttn2LP0PfcprKwy36rn0KaGPtb2Z/3lt9jPHk/YP+yYL40ZUw3RZyp7h7ptdV8PjtOHAgQOVbYbzs3JvWYollmhje3Q8Md0P28bSj0pJEqHt4X3oCx0TDOPyeVSSPWTnZqUFGWbX9rFfs3RFEdUQsbbNIWBzMuF/AjHGGGOMaTP8BtAYY4xpMawBNCW8ADTGGGNaDC8ATQkvAJuMI0eODKvRo26Guj6mtlCoRaLWSjU21ENRJ6daMdpEzZDed2BgoLKPmpssRQa1UtTnqO6nlNpF99Nn1OplaW6YJiJLczOadDlsG9NTZDpF2s9UKHouH/7sd7WxVNKM40m1VtRdMcWHXrtUukv7q5Ra59ChQ5VtPZ5tZ19mOtG9e/eOeCznJLWT2X04JrI0KhwDvK/q8XjPefPmjXgs71vqO+33UsoVvRbnJH2cXYvaz0yjnGleI6rPlZIGkG1XO9Te0hg2ZiLxAtAYY4xpMfwG0JTwP4EYY4wxxrQZXgAaY4wxxrQZDgE3GdOmTavrcFQXRD1XlquMehXqUvbv31/Z1hxj1JwxP5zqzKiTYX6y/v7++mdqsngsr6XaJGqE6AvVQJVy1qlv6Jes/BavTd0V9Xd6Lm2ivkvbTi0Y+4N+1DbQT5lNPDbLmUb72Vfcr/elj7MciBzTmbaQOjL2B/Vret8sv2NE1Re8z8KFCyvbOp5K2jbq1dRP1KtRE6v9nuUPjKi2lfZS85eVtuM4zXSKpXmnJfW6u7sr+6hR5jzUZxDnJJ9P7Hcl0wtyH+FcUnQ8TWRY1SFgU8ILQGOMMabF8ALQlHAI2BhjjDGmzfAC0BhjjDGmzXAIuIlR3Ql1MV1dXZVt1cJQ40QtFXPyad1OhgWoOVPdD3V8vK7uVz1gRGN9T+q/NLdWSdumGi7qsFTfGNGoj3y7+yKqmqFSjVu9VkkvmOXco4aOmi3VXlGjxfbosfQT26NjiDbRhiz3WaZVjcjbntW/Hk1964jq/GD9W45F9QU1ZuxnnVu0lzZl2kNq/nhfnQO8DtFnA9tGrR5r9qr+kX2X5V6kvTxX+47Pgqy+NW2mDdzWcU39LMdp9iwraa617/Q61gCakwkvAI0xxpgWwwtAU8IhYGOMMcaYNsNvAJuMqVOn1kMKWraJ4SSGETU0xdAfU3wwXKMhFqaIYekoDX0wZLdr167KtpbuYoiFIUiGqTU0xdAmw1gaBmJokKE1vS730U/8hqz7mW6C4T/dZuhp1qxZMRIM9WdhUO5nv2cl6EopPvQ+HC+lFCzal0xZQht1u1SGUEOfDOPyXIZJdRyz1BhTo2gflEouqt8WLFhQ2cf5wPCx9g99TD9p+7iP5+o4ZT/TT7yWjmuey/mg59KnPFf7kuOH8Fw9nvYzxJ2lyOF8UJvZzxw/nLM6DrISi+OJ3wCaEn4DaIwxxhjTZngBOAb09vbGxRdfHLNnz47Ozs746Ec/Gs8991zlmFqtFuvWrYuenp6YMWNGXHHFFfHss89OksXGGGOMaWe8ABwDtmzZEjfddFP88Ic/jM2bN8ebb74Zq1evroRA77777rjnnnvi3nvvja1bt0Z3d3dceeWVDSEjY4wx5kQ5HgI+kR/T2lgDOAZ873vfq2xv2rQpOjs7Y9u2bfGBD3wgarVabNiwIe6444645pprIiLigQceiK6urnjooYfihhtueNv3OuOMM+qaEtX2lLRgqmfhvj179lS2qcHJSjppCSfup26GOjJd/DKNAo/NtEnUTmVQQ0cbte08lm3n4j0rScUUOKoZYlups1T/Z+XChoM6RiXTJZZKwSnUemY+jajqsOhD3kdLlVFvyrZrehOmL2Hf0eeqw6TedNmyZZVtTX3EtmXpWahzZRoS2qwl0Khp5LF6bc4H+lT7i7rEkvZToT6QOr8sPQtR/zOFFfuDNuq5HO/c1vnDvmJKKB1f7CuOW95H267Ptiwl0lhjDaAp4TeA48Bx0fjxP1jbt2+P/v7+WL16df2Yjo6OuPzyy+PJJ58c9hqDg4Nx+PDhyo8xxhhjzFjgBeAYU6vVYu3atXHZZZfFBRdcEBH/f2JTfrPt6upqSHp6nN7e3pgzZ079Z8mSJeNruDHGmJbBIWBTwgvAMebmm2+On/zkJ/HNb36zYR9DDrVareF3x7n99tvj5Zdfrv/09fWNi73GGGOMaT+sARxDPv/5z8ejjz4aTzzxRCxevLj+++7u7oh4603gokWL6r8fGBhoeCt4nI6OjmF1M9OnT69r01RPQj0XUT0Lr8tzqcdTLRL1RarRiqjqRkrlxFTXRG0M83Vxoaw6JmqcMr0RdX1Zbjwey23qfrQN1OpRt5RpMtlW3U8tG2F+Mm0PNVq0X/s20/xFVLVhHD8lXZzaOH/+/Mo+5k/UMcIxQf2a7qf/qe+ihkvHAfWaRP1Y8lOm+WJbM90r5w7t17HJqAJz1Ok2xwtt4FzKSjDS5/oc4XODc0nhfKAP6fOszB/vo8dy7lPLquO4VFowyyGoNkykBtCYEn4DOAbUarW4+eab45FHHom/+qu/iuXLl1f2L1++PLq7u2Pz5s313x09ejS2bNkSq1atmmhzjTHGtDgOAZsSfgM4Btx0003x0EMPxZ//+Z/H7Nmz69/A58yZEzNmzIgpU6bEmjVrYv369bFixYpYsWJFrF+/PmbOnBmf+MQnJtl6Y4wxrYb/C9iU8AJwDNi4cWNERFxxxRWV32/atCk+85nPRETErbfeGq+99lrceOON8dJLL8Ull1wSjz32WEM6hxJvvPFGfWJq2IFhN4YkNNxUSpVA9Fpz5sxJ76P72TbaqCEjpj7hNkOf+l/Ru3fvruxjqFPtYHgpK3XF62Tl9QjT4xC9Nq+TlXNjWTKSlWFjKossrM5jGR7T8B99WAqXqY0M551zzjmVbe27zs7Oyj6GgHX/0qVLK/sYnlRZA7c51pgmSWUPDIPyWL0Ww6u0gSFuvQ/D0gwl6h9rjp+sjCKvQz8R7evsurwWbWL4O1tsMHxPiYrOJabL4XxQ+/nsYtk47VvOO84dPiu0PerjVg8B79q1K2677bb47ne/G6+99lr8k3/yT+Ib3/hGXHTRRZNtmhkGLwDHgLfzTWnKlCmxbt26WLdu3fgbZIwxxkwgL730Ulx66aXx67/+6/Hd7343Ojs74+c//3nDAt6cPHgBaIwxxrQYEx0C/vrXvx5LliyJTZs21X931llnveP7m/HH/wRijDHGtBhj9U8gLEhAycdxHn300Vi5cmV87GMfi87Ozrjwwgvj/vvvn8gmm1HiN4BNhqaBUY0NNSjcVs0NdSjUs1Dnpzomvs4/nuLmOKrBYeku3le1YUwnQ83Tzp07R7wWtUfUG6m2h9q2TCNEv1AbxnQb2h/UF/GhqTbzWKbmyPR2TPFBm7Mxwvbotan5y0qE8TrU9dFmTYtBzRbt1/1MmUS9oKZeosaMukTqB1VzmmnZeCzh2Ms0m9Syse06B7J0LBFVHS/HBOed9gfnA6HOT/sj06pGVMcxda4cT9q+Usobjjc9ns8J9qVuc4xn0P9aDjCi8Tmix6ufmvEfK1iE4M477xxWyvSLX/wiNm7cGGvXro0vf/nL8dRTT8UXvvCF6OjoiE9/+tMTZK0ZDV4AGmOMMS3GWIWA+/r6Kv+gNFKe1aGhoVi5cmWsX78+IiIuvPDCePbZZ2Pjxo1eAJ6kOARsjDHGmGE5/fTTKz8jLQAXLVoU5513XuV37373uxveypqTBy8AjTHGGHNCXHrppfHcc89Vfvf888/HsmXLJskiU8Ih4Cbj2LFjdT2TamyoJyKqgaJWhxonamy0XBf1gdQAqraKZZioCVRtDHNwUTNEm7N8WtQPql4qy5MXUdUF0afUPFE/pf1BjRO39drD1YgeyX4ey+tSb6d+pLaQGig9l2OAflI7shyBEXn+xEwXGlHVnPX09FT2sYycjs1S6bGRhOwR5fyPma6PftNjqR1kP3O86fji+Gd/6H5eh/2jx2ba1IjG3IUHDx6sfy6V/FMbed0s9yX3cdyy7WoH+5k2qi/Yr1mZRfqfWmg+v9Rv+nydyDyAE/1fwF/84hdj1apVsX79+vit3/qteOqpp+K+++6L++677x3bYMYXvwE0xhhjWpCJLAN38cUXx3e+85345je/GRdccEH8h//wH2LDhg1x3XXXjUPLzFjgN4DGGGOMOWE+/OEPx4c//OHJNsO8TbwAbDKOHj1aDyNomKH0jY2hHIUpMxja1P8Ay8JuEdUQcFYqjfdliIVhRIZyNDUEQ2u0PytfxbCVhqroM4Ynid6X9jNspSEjhoWyFCa0l8fSjxry4hhhyEtDYqVybto+7mMIlaleNEzHMZKlJcnKG/K6lDWU5ofel2lUaJP6hm3XEGlEdZzyWIaSObd0zDMVCtunbS+VdtT+oE2lUPOZZ55Z/0ypBW3KwuzZXGKJvCysHlGdPzyW4XBtH/uZ8123OU6Z6oj7dQ6MVBbOmMnGC0BjjDGmxZhoDaBpPrwANMYYY1oMLwBNCf8TiDHGGGNMm+E3gE3Gvn376voZ1SYxpQH1OKodyzRZEY06GtXFsSwQS2qprobaKWps9BtmpkcbzkbV0lB/w7QXqsehDfSTagRLuitqiBSWiqIuK9Ns8Zu36iypq6LGKUujkpWriqjqvehvXjdrO+1XDSnvk2kLI6pjiP6n1lDvSxsyfVdEdbxxH/2m29TIZW9NsjQvEY19q9fifYieyzlJ+9XntIH+5zjQNpTarv2VafF4Xz4LaD9tUqgPzNIBlUrZ6bkl/W+W9inTX48nfgNoSngBaIwxxrQYXgCaEg4BG2OMMca0GX4DaIwxxrQYfgNoSngB2GS88cYbdf2b6voyTVZEVWfGHFalnG96beaho2ZIdT+lPHq6n3oc3of7R6NX03N5XWqGqDNTqCdi+Sf1calkm+qNqHmiT1XTuHDhwsq+koZL9XfsD9qoWqvR2M8yX4TaNr02r8uxqDZT25mVtitpYpmPTfWEvA81mmo/5xLbqvfJygFG5OUOszJlEdVxwL7LdHA8lmOE/aF6VNrL9qjfSvZT55fB9qjettR2bR/bxrmjsG08l+NJ+0OPnUg9oBeApoRDwMYYY4wxbYYXgMYYY4wxbYZDwMYYY0yL4RCwKeEFYJMxNDRU17mozolaJGoCVS/FPIDUR2U5x6i3yzRzhDqZrEYmdVjUdOm51NUwP5z6gvsyvSChTokaKIU28Vj1G2vaUm+kOibq7c4444wRj42otp19Rc2Tahqp2crq4fJYtpX1olWzxdrMPFfbSy0e6+5q++gXjmmOA50/9D+1hmozbWK/qyaQ16FeLesfjj32h45jjmGOcZ3DpdyQRK/FvsvsL+VlVJ/zOqWcoGpTT09PZV+Ww5E+ZP9kuf/4fH27x2bPF2MmGi8AjTHGmBbDbwBNCS8AjTHGmBbDC0BTwgvAJqOjo6MebtDQGkM3nLwaWmN4laEQhk00NMLQGculaYiD4UqmyNDwGUMjDAmztJrelzbxPhoqLIVgNCyXleaKaAxXasoVpohh/2iolscyBKalvRjiZWk+7p8/f/6I+xhK023awPCYtrUkIWC4T1PZ7NmzJz1W75v1K++bpZ4ZzkYdF+yPvXv3VrZ17JVsytLA0G9ZuJIyAY5jPZbjMhu3bGsptYuO49GUtmOonOUBtd/ZVySTGNAmPkf02OzZxXM5Lkvt4TNpMvAC0JTwfwEbY4wxxrQZfgNojDHGtBh+A2hKeAFojDHGtBheAJoSXgA2GUeOHKlriVQXxJQM1N9laTtKei/V1ZS0barfoaaJeinV1VBTQ30OH0ZqE89lShy9D7U81P3w3MyGrHQXNVvUnGn76P+sHJfqASMa01F0dnZWts8555z6Z/ZVqQybwjGjPud16RfqobISYTt27Khsa/9k4yciYvfu3fXPpTRC1JmpjdTxcczrtdg2+lB1lewr+o16NW0vr0vNmY7bUsoV9T91e2xPZhPHLftHyfwdUfVp5sOIxnGr16INWfnJ0nzW/ZzPHF9E26B+yuaYMRONF4DGGGNMi+E3gKaEF4DGGGNMi+EFoCnh99HGGGOMMW2G3wA2Gaeeempd16K6vzPPPDM9T7Uw1Mlwm/qWgYGB+mdqd/gtUfdnWkLaRPSeEY0aR71vqZxYlruM9qte5+WXX06Ppd9UJ0R9VFY2jsdSb6Q6LebyY1m/X/3VX61sa849aql4H20f/cRztT30C7Wf1PmpFq507P79++ufS3nbVGfW19dX2cfScDxXxyrHP3Whmhew5Cdq6BTqwXis6vxoA4/VMc5j9+3bV9nWfqd+lv7PchfSBrZd5w/nSqZHpWaR84Pty8q7UQut44mwP5h7NDuWNupzUP1SynFozETiBaAxxhjTYjgEbEo4BGyMMcYY02b4DWCT8dprr9XDDxrWYhiUoQYNsZRSn3C/nsvrvvDCC5Xtn//85/XPTHvBcJ9ei+EkhoF27txZ2dbQFcMxWXoHhoSy0HKpvB73axiI1503b15lW0O3PJb+1/swBJ+l4Ymo9l0pNY2GqhiyztJr8Do8lmFrDbeWQqY6DhhuPXDgQGVb/aYlvyIaw/n0sYY+OR94Hw1Fl8ZtVnqQPua52pfsO/a7zi2OcYa0dRxzThKVENBG9jvDxWoj/ZDNUR5bKl2pz5lMksJjeV32pT5fs3kVkafp0fFf8vdY4jeApoQXgMYYY0yL4QWgKeEFoDHGGNOCeBFnMqwBNMYYY4xpM/wGsMkYKa0EdVcsGaa6JWqNmF6D2iTVqPEbJctmqaaLOhnqaFSnlaWEiWjUzqhOi+3J7Ce8r+qCeF3qrrhftW1Mp8FzVc+WldCKqOodqaejXzg+9Hj6hW3P0lVk5QJ5LPVq1GGp3+gntk99Qz/xuqrzo16wVAZPx0gpTZL6mHo1+l/1auwrlpibP3/+iDazPfS57qdPqQnU+c6+om6XNqq2jeM/G8e8LlNEaVvZVzw3S6lEslJ99BO1nzoWaRM1pRxPOi702EwTOtY4BGxKeAFojDHGtBheAJoSDgEbY4wxxrQZfgNojDHGtBh+A2hKeAHYZAwODtZ1LKpbyjRmhBObepwsDyCvSx2N6tWYrysrfcXrZmW+eG1qGNm+LF8iNVuqL6KmiTnrqPvRtnd1dVX2sX9Ua1jKhafXpe4qK2UXUW0D/Z/pCbMxQDuoneKYyLR7pZJ/ei5LmnHcqk+ptyvlAdT2lPIlantLukqFfujs7KxssyxbloeO2jbtS86lzP9sG22gfnCkew53H7WD11UtIaFPma+PflOdIp852XOE/UzddPZ8pQ30o95X53NWGtCYicYhYGOMMcaYNsNvAI0xxpgWwyFgU8ILwCbj2LFj9YmpYSuG/hiW01AOw0ncZrhGS2ExxMUUDfrQoA0MdWoILysjNdy5WdsZ/tOQJENEDC8xrKgwfEObs5QfvI/azHsyFKWhNvYNbeJ9NAxXSsWh7eF9shJnbCtDgQyPqU0ss8Yxo2mGGM5j6J/jOLMpmwP0KUOqLDOn0E96rdI8Y+hT/cr5QF/o/Cj94dZrsa0M+fK+WVoehnX12gxZc1t9wznKbcoEMukCfa5j8dChQ5Gh96GsgTYwHD7StTk+xhMvAE0Jh4CNMcYYY9oMvwE0xhhjWgy/ATQlvAA0xhhjWgwvAE0JLwCbjFmzZtV1LKrZoh6HeiLdpqaJx1Kfo9culX/Sc6nNo5ZHtTvU+FFzw/tSP5Udq7o4Ta0xnI2qSaNN3Kaf1Gb6JUs7Qr9Qm6f3YduY3mTPnj2VbW0ftXjUMOoDn/7lmMnKA1JHRl2i6vz6+/sr+3bt2lXZ1tQvL774YmVfpqeido0+Zl9qe6hD5BhRX3AMUA+pujjOM/ZzppElHMc6vqhHy1ID8Z60nxo6HTPUYO7YsaOyreOCNrDvVJ+a+Zs2RFR9TPs5jlW/yblDPaqmeqF+lsfSJk0xo36ayEWVF4CmhDWAxhhjjDFthheAxhhjTItx/A3gifyMhnXr1sWUKVMqP93d3ePUOjMWOARsjDHGtBiTEQI+//zz4/vf/359O6uMYyYfLwCbjDfffLNByxWRl1mLqOqaSvoo6u80pxU1T3xI6LW5j1oe1dWwLBP1RWyf6qmolWJ7VPdDTRDbo/ZTx1fKA5iVd6Mv9Nj58+dX9lEfpaWuqI9iTrr9+/dXttVPbGtWcosl2jhmVLvHfSUNl/p17969lX3UMGoeQOZey/5AsW3sjyzPZEnnmuVlJFkpPtrI9qiujz4lqrtcuHBhZR/HqV6Xfin1nZ7L9rD8ofYd5zO1evos4DjlfOY81Pmv94xo1EPquGW/8hmketS5c+dW9vFcall1P8daKzNt2jS/9WsiHAI2xhhjzLAcPny48sPFr/Kzn/0senp6Yvny5fHxj388fvGLX0ygpWa0eAFojDHGtBhjpQFcsmRJzJkzp/7T29s77P0uueSS+JM/+ZP4i7/4i7j//vujv78/Vq1a1fAf0+bkwSFgY4wxxgxLX19fJdXOSCHtq666qv75Pe95T7z//e+Pc845Jx544IFYu3btuNtpRo8XgE3GGWecMaywlnqijFLtVuZBU6jHyWrG8j7Uq2mOMX5LZF1RorpEPpAyLRXhsaovok9LdXjVN7wn87ap5ol+oi5LtVbUwZXqmapfqWOiPko1gOwParj0XI4X9gf9qONt9+7dlX1sj2oambeNftJ5wTnCc2mj6s6Y+y7TnJXmg16LfqD/qbfTa/FY5lrUucV91OZl9nI+cMyoZpP+5/xWDR37gz7O9JzsK443nR9sO/WE+nzidTkPdQ7zGclzOUbU59qv2bNorBkaGmqwa7TnR7z1LC49j4dj1qxZ8Z73vCd+9rOfvWMbzPjiELAxxhjTYkx0GhgyODgY//AP/xCLFi0aoxaZscYLQGOMMcacEP/u3/272LJlS2zfvj3+5m/+Jv7Vv/pXcfjw4bj++usn2zQzAg4BNxkjlb/iq35u63lM38DQB8NaWSiEaSP0WgwbZqlRGOKijQz7aHsYTspKwY0mVE6bCMNaaiPPpf0aEi6lm8nSSPz85z+vbC9YsKCyrX3JsC59rOFAhgZpfxYyZSiQ7dExoqXehtvWkONw6Y+ULIVPKQSp7WHfMXyfhfSyech+5LlZOUfaxG0tW8Y3Lj09PZVttYNznXOW40D9yPAqj1W/8VhKGfRc+oVvoji/szHOc7OSmJn9tJfjh/2hdui4zcoXjjUTnQfwxRdfjGuvvTb2798fCxcujH/+z/95/PCHP4xly5a9YxvM+OIFoDHGGNNiTPQC8OGHH37H9zKTg0PAY0xvb29MmTIl1qxZU/9drVaLdevWRU9PT8yYMSOuuOKKePbZZyfPSGOMMS1NrVar/yPIO/k5UQ2gOfnxAnAM2bp1a9x3333x3ve+t/L7u+++O+6555649957Y+vWrdHd3R1XXnllQ7jFGGOMMWYicAh4jHj11Vfjuuuui/vvvz+++tWv1n9fq9Viw4YNcccdd8Q111wTEREPPPBAdHV1xUMPPRQ33HDDqO6zdOnSupZOyx5RN0OtiX6bY+k0agCzlBnU0PFc1dtRX5TpXzI92nD3VX0Oyz9R76U6RbUvolHbpsdyH69LvZeWkqK9PFdTZDB1BUvxqf6olHaEqM+pD8zGATVPma5SU9oMdyzRsapl7iIaNWjqC76R4La2hz4k7NtM70ldmWpZeR9u69xhmbtSCT0dF7SPZctUd8lScOx3vS/LEFIXR5uXLl1a/8y5n5V6ZD+TTN/J69JmhXpNzjsdm3xmch7qGKF9PDbT6eq+iUwDMxm1gE1z4TeAY8RNN90UV199dXzoQx+q/H779u3R398fq1evrv+uo6MjLr/88njyySdHvN7g4GBDCR5jjDHm7TDZaWDMyY/fAI4BDz/8cPzoRz+KrVu3Nuw7XiScyVi7urpix44dI16zt7c3fv/3f39sDTXGGGOMCb8BPGH6+vrilltuiQcffDANOw2X+Z6/U26//fZ4+eWX6z99fX1jZrMxxpjWxm8ATQm/ATxBtm3bFgMDA3HRRRfVf3fs2LF44okn4t57743nnnsuIt56E6j5uQYGBtISTR0dHcPqSqZOnVrXtaguiCFiat0UarR4H+YjUw0Oj6U2Rvdn+bp4LjVCmR4qoloirKQ5U10Z85HRJi1FVtIwUvumULdEzZaWVqK/qevLvljQpkwLqj4b7li1mTZl+dRK5cSY/1GP5zhlW7XveN3ML9Q3lsqw6bigjoxjRv1U0nqqPpV+4FziHNY+YF9R15dpAJkXUO0o5XDMyu1Re0u/zZs3b8RjeV/dpraW84z6TR0XPJbPEZ3fbCvnrM4dzgdusz36bNMx0sp5AE3z4TeAJ8gHP/jBeOaZZ+Lpp5+u/6xcuTKuu+66ePrpp+Pss8+O7u7u2Lx5c/2co0ePxpYtW2LVqlWTaLkxxhhj2hW/ATxBZs+eHRdccEHld7NmzYr58+fXf79mzZpYv359rFixIlasWBHr16+PmTNnxic+8YnJMNkYY0yLczyf34mcb1obLwAngFtvvTVee+21uPHGG+Oll16KSy65JB577LGGsObbYfbs2Q1hmYjGkASP0f0MdZRCkFnqBKLhDh7L9A0aymEIhaEbhtY0XMa2Mo2N2s+QHR9yGhpkeHLu3LmVbbZvNGXmhuvD4zBMpCFIhg3plyyFDGH76HOF99UUIBw/PDYL2XEOZGFS9hXvm5UhZN9kZQk1TDicjeq3kv3alwypse8YvsxKtrHtei7lBlnZMqZyYbib6PjKZA0R1fZx7lDykYXg2e/0W1bejTZl5el4rIZxSzKHLFyq93EaGHMy4QXgOPD4449XtqdMmRLr1q2LdevWTYo9xhhjjDGKF4DGGGNMi+E3gKaEF4DGGGNMi+EFoCnhBWCTcejQobrmZd++ffXfUyfDNBiqYaGGhjqgTMPF+/AhoVqlTLcXUdXDLFmypLKPWh7qdVTzRBuYmkbtoPaIbVXNFjVB9FOmDaPmjLo+9WOWYiWi6qdSCSrq+lQrxmN5LR0z1ANSc6b7S5rSTCNIv2TpQTieqIvT62b6wIhGnZ/q2Xgu/dTT01P/TK0hfZHp02hDVlKvNEZUY8d9WTojahaHy1eqaL/T3uxZUEq5onZwrlM/mI1FjvFsfnCMcyyqH5k2iH7ivNP5nY338cT/BGJKOA2MMcYYY0yb4TeAxhhjTIvhELAp4QWgMcYY02J4AWhKeAHYZBw7dqyuP1FtEvVEWdm1rExcRKPGRrUwJW2Y6shoQ1Y2iw8bancyTSO1etTZ6LnUtVAbpvuZs4v34X7VRNHH1DVlOfeYN09zrzHPH/OTUa+m/c62Uoel+6m3y7Ri7CteN2srxwS3hyuHeBz6Pyudlmk9I6rjL7M3ojpG6G/2s96H/me+O9qk16bmLCvJyGOznIGE8yPLf1d6jqiNnN/U1Om4pk63pJtTP7Lt9LnOYY5pzjttH32Y6QUjquNPbbCuzpxMeAFojDHGtBh+A2hKeAFojDHGtBheAJoSXgA2GYcPH66H5zS0UCqlpuENhhGzMGhEXgqO92V5qJGuE1ENcZVCpAwrakqZUshO25elz4jIU96QrGQbfczUNAxpK1k5tCwkGtFos7aXNrBknp6bpQ4p2VEKw+m1GGrmtob3OPYYslP/l8L1tFF9zrZzfGlokD4tlcHLoIxDbVywYEFqE+eHwjGhvmBos5R+Secd7c1kGrQhm1slSQf3qy84pll+UttTKu82UiqX4chkD5OVBsaYEl4AGmOMMS2G8wCaEl4AGmOMMS2GQ8CmhBNBG2OMMca0GX4D2GQMDg7WdVKqZ2E6CmpNVONUKudGHZbqWVjOLUtLsnDhwvQ+WZky6omysllZ2pqIqg6L9zlw4EBlW/2WpfQYDu0D6vjoJ7WRejTqElXXRI0T70NtmJYLpF6N6Lhgig+W8lJdH/1PDV2WQob9TPtHM8az/mHbOQf0vuwr9k9nZ2f9M+1nW3Wb6U04ppkaRXV/1DBSv6Z2HDx4sLKP52rfUp9J+vv7K9s6XzifeR9tH58bTEWTlWijT9nPOv449ugLPZdpeGi/PgfZN+y7rPSjXneiNYB+i2cyvAA0xhhjWgyHgE0JLwCNMcaYFsP/BGJKWANojDHGGNNm+A1gkzE0NFTXJGk+LGqCshJI/GZHHRP1UqrDoh6KqG6GNjF/l2p3qDtk+IHaHs03yGOp3WMuMIV52tQmapHYHvpC20CNE4/V/dzH+6jeiLrKLPdaRLUvuY+5y9R+aiVfeeWVynZXV1f9MzVahDaq9op9RV9Ql6VwHHMMKdQPZnnzaMNotKvUgmn7eGxWzo02Uq+2d+/e4UyPiMZ+5vjPysZxPlAjqzrGgYGByj7q4lRLSb/wXOouFepPs3nI516mcaR2lTpF1f1RE8vnEVE/qn2l5+dY4hCwKeEFoDHGGNNieAFoSjgEbIwxxhjTZvgNoDHGGNNi+A2gKeEFYJOheaQ0Jxw1NtQTqYaF2iPqWaiNUS0M70NtmOr8mPOKei69LnOkURvGWqian6xUp1MfZHyoUb+mmqFS/Vu2R33D62b9Q+0aj1U/UdPEc+m37D7UUqnWisey7aplolaSmj/Wh9ZrlfLz6X24j+fqOGbfcZwS7a8sbyGvTT/xvqOpQ815p+OL9vNaaiP3Ub+m+jTam+kQI6o6OeoDOZ70+ZTVbY6o+oL+Zu7LTHfJOcmxpz6mXziOta2jrQuu18qeP+OJF4CmhEPAxhhjjDFtht8AGmOMMS2G8wCaEl4ANhlTp05N010ch6WLNKzFsAjDr9w/0nUiGsNNGvIqhZo1tEN7GUbUkma8NsMvtEnDMaWH2rx58+qfGf5ieInbajPDY8uWLRvx3FKoWcNjDFsxlMZzdT+PZUoZHQcM/zBcqaFChg3ZlwxtZnIEpuLQvmQYkalDsjJbvA9tUtjvTEOSzT9eV+cL7SuF2PRcXpe+0Gtx7rA/srHHuc/wq/YPQ74cXxq25rzjs0BtLo092qz9VUqzko2RTD5BH3KMMAWO3kc/T+SiyiFgU8IhYGOMMcaYNsNvAI0xxpgWw28ATQkvAI0xxpgWwwtAU8ILwCZD9SSqS6HmjPo01UtR81dKQ6JamFIqDqWUnkXvS5uou6L2TbU+LLuWpUZhqgfqfrLSY9Q8Ee2bLKVERFUDlen2IvK2UhvGbb02dVdMLaLjiVpP+kVLk1F3xW22R8cX09pwPKk2LCu9F1HVrx08eLCyj2UIqXXT+cMxThvVN2wbUa0Y21bSlGbzjvNd78PxRN2b2l/S5vFcPZ7n0ufUImZoW3lPzn3q77TUHX3Ivss0gBxPus22lHTH1AQeZyI1gP4nEFPCGkBjjDHGmDbDbwCNMcaYFsMhYFPCC0BjjDGmxfAC0JTwArDJOOWUU+p6GdWoUONE7YvqZqgj40TPdGTU5lEDpTZRY0ZdnJZ3o2aGeinNzxfR2D4ly3NYypunvsjygg13ruqPqEViPjXVDGVaPN63pBfM2kftFFGNHTWAtF/7g3ooaqk4nnQ/tWxsX6YNo990THCsUaPFa2lOxJLWMyvtxbml44A2Zdflucx5SE2a9k9WcjGi2rf0S6ZV5bVKpdS6urrqnzm/mcdQz6W9fOZkml9qiWlTlv8xK7dX0kZybql+TvujXRZVvb298eUvfzluueWW2LBhw2SbY0bAC0BjjDGmxZisN4Bbt26N++67L9773ve+43ubicH/BGKMMca0IMcXge/k553w6quvxnXXXRf3339/QwUXc/LhN4BNxsKFC+uhCQ1nMOyZld/iPoY2mW5DQ0YMBfK+Gjbp7u6u7GOaiP3799c/M4TNUCBLwalNDDkyHKM2MuSYheVK6WVos7YnC3FF5CXzeGxWdi1LhRJR7Wtel2HFLKUJbdS+5HjR0H5EnpqjlE5D95fCcOoL+qk0xvUPXqnsl9rBsGE2FmlvKXSu4482cA5n5d3Y1kw+wTHNa2kol2lCsnAy50NWNi4rpxcxujRPvBb7S8nSDPE6WWqgiIjZs2fXP6sfWj21yk033RRXX311fOhDH4qvfvWrk22OKeAFoDHGGNNijFUImLrQjo6OYXO8Pvzww/GjH/0otm7d+o7vaSYWh4CNMcaYFuNEwr+6eFyyZEnMmTOn/tPb29twr76+vrjlllviwQcfbIgsmJMXvwE0xhhjzLD09fVVpAHDvf3btm1bDAwMxEUXXVT/3bFjx+KJJ56Ie++9NwYHBxtC92by8QKwyThy5Ehda6PftKhJoe5KtTGcwEwpwf2qjaHGhtokPZY2UMOlehjaQK0MdVmqTeKDhWEP1f1RC0ZtkpaVok6JqWgGBgYq2+obtp0aIm2v6oUiGtOQqLaKWiPqltg+LdnGMcJt9TH7g/br2ON4YciI/aH3Leks9T6ZNjKiqn+kvdSnZWXXslKItJ9C90zHV7KBftJrUduZldvL5m9EtZ8zve9wNmkbOPezdFKlt0LqY851XjezifvoC93msdQ7qh1ML5OlaqJNLOnHa40XYxUCPv300xu0oeSDH/xgPPPMM5Xf/et//a/j3HPPjdtuu82Lv5MULwCNMcaYFmMi08DMnj07LrjggsrvZs2aFfPnz2/4vTl58ALQGGOMaTFcCcSU8ALQGGOMMWPK448/PtkmmAJeADYZ06dPr+tLVL9TylGXaeaoA8o0Q1n+sYhGTVeG6o2oR8ts4H5qzqihU+0hNU7U/agmMCsTF9Go6VKdE/MW8ljNy1gqqZXpEqmtyvIAdnZ2VvZRw6jXpl94XfUxxxPHBP2oNrE/uK36Ke7jdbMSZ4QaU21Dto/X5ljL2lPKJZdpKdnPHDNZGT+i7eO8IvSjziXmBM2eBdQL0n4dX1k+vuGupb5hezjGNX+lzqvh0PvS/2xrpv3Ufue8Gk+GhoZOKO9gq+csNF4AGmOMMS2HQ8CmhPMAGmOMMca0GX4D2GS8+uqrb+tf6lmOS0sgZaXSIhrDPhpSYsiLId+snBjTnShsUykkrCFupixh+zSkynAxQzJZ/UqGfVjqTstkMQTPNBFqY5aqIqIatmIqHYb71AZCG2ijhvR4H/otS3lDOCbmzJlT/8y3DFkImH7hmFGbeB3amKVJ4hhnSD5LJcL76rUYRmR7sjQxpfvofoaa+SxQn2bh1OHo7+8f0V7aqPOS6ZZ0DERUnw28bpYaKKI6Vvfu3Zueq9ulNDz6DOJ8IFmpx+ye44nfAJoSXgAaY4wxLYYXgKaEQ8DGGGOMMW2G3wAaY4wxLYbfAJoSXgA2GUNDQ3U9XKZL4eRVnR81NNTBUaeiqRV4LnVlWboZpn5Q/aBqFCMatXjUS6mmiDpEtke3mSaC11UNHdNEsK1Mk6DaK+odX3zxxRHvSz9Rx6eaKNqvZe6Gs0n9WEqNoloxXjfT21HjV0oLk2lBaeNoxq3q4qiRo0aLftL7ZmlrIvKya1m6E/qF9tMmbUNJw6i+4dwfTVlI+o36Wp2n1OVyfqtN1JtyzKjfmK6I/qeNel/6NEuPRX8vXLhwxPvSBj5zOG61PSVd5XjhBaAp4RCwMcYYY0yb4TeAxhhjTIvhN4CmhBeAxhhjTIvhBaAp4QVgk/Haa6/VdS2qwaE2jHm3VAtDDQ31OdQMqcamVDZO70M9FPVEmTavpGNS/SPbSr2Oaveo3clyvvFYtvWll16qbGf54Xgt3aZ2imjbd+3aVdlX0kqqjdzH/HCa6496R2qc1Bf0C/NKshxXBjVb6sdS/susRBt1WOyPLDdeVhquVBJM93Nc8rr0uc5T9h01jTqXsrJ9EdX+4j05pjUHJe3gscwVmfmJeT4zPTP7LrsPr0Mb9RnE8Z/NQz6feB/qdnV86Rimv8cTLwBNCWsAjTHGGGPaDL8BNMYYY1oMvwE0JbwANMYYY1qMWq3WIDMY7fmmtfECsMmYOXPmsFoo5tWiZoiaG4X6Lj40VDNE7RF1TbpN7RHrf+q1eB1qbNhmtalUY1W3M31gRFUXVNJ3MU+gapOoPaLuUo+lTbRf/Zj143Cozcxzlum9qOujTao5K+WOo05R9VFsO8n+gNHGLAdlKQeiXquUS077gG3N6vtqreWIxjlLLe7+/fvrn6lBo85P5wA1sZxLqnEs2c+26xihFo/5+/RcXpf31bmW7RvuWqq/43hhftHsPlzw6HzhXOF9OGZ0PO3bt2/E44yZTLwANMYYY1oMh4BNCS8AjTHGmBbDC0BTwgvAJkNDCBq+ZGiWKQ2y1A8MwzFMoftLZb90mw8Q3kf3M4zI+zCEl5WkYihKfcHwGNFrMR0IQ2kM6WkYbt68eZV99KmWQ6P9RMuyMezGEBf9qOHWvr6+EfdFVMPf9BPvq8fSfvYzQ23qV/olK63GMcBwuPqUfcWQXbZdKu+m84f34bjVMUJ/l8a8tofyCdqvc4n3YQhVYd8w1JmlrmF/UPKRPZ/oN507pdQ0WcoYpmNh2cEs/E0pSVYKju3hs05D5ep/h4DNyYQXgMYYY0yL4TeApoTzAI4Ru3btik9+8pMxf/78mDlzZvzar/1abNu2rb6/VqvFunXroqenJ2bMmBFXXHFFPPvss5NosTHGmFbl+ALwRH5Ma+MF4Bjw0ksvxaWXXhqnnnpqfPe7342f/vSn8Z//83+OM844o37M3XffHffcc0/ce++9sXXr1uju7o4rr7yyIYRnjDHGnCheAJoSDgGPAV//+tdjyZIlsWnTpvrvzjrrrPrnWq0WGzZsiDvuuCOuueaaiIh44IEHoqurKx566KG44YYb3va9dGKqVon6IWpUVN9CjRM1QtSpaHoK6n54rmpldAE8nE2ZXpDXzdLclLRIqgFk+oys7F3JL1lKFqbtyNKSsO3U22UlwfgFIktHwftQJ6r3oT6KKW+0P9g31KcxvUmmV6NPtb/YH1lKIurIMt1YRLUN9HGmcaQPqVfTc+knQps1fQ7HD6+l55Y0vpqWhMfyuhxfpXQ6ivYt7Wff6ZjnPUqpaVSvyvJuWYk2+oVzVp8jHKelFDIjpUmayFJwxpTwaBwDHn300Vi5cmV87GMfi87Ozrjwwgvj/vvvr+/fvn179Pf3x+rVq+u/6+joiMsvvzyefPLJYa85ODgYhw8frvwYY4wxbwe/ATQlvAAcA37xi1/Exo0bY8WKFfEXf/EX8bnPfS6+8IUvxJ/8yZ9ERER/f39ERHR1dVXO6+rqqu8jvb29MWfOnPrPkiVLxrcRxhhjWgYvAE0JLwDHgKGhoXjf+94X69evjwsvvDBuuOGG+Df/5t/Exo0bK8cxlFSr1UZMAXL77bfHyy+/XP9hCg9jjDHGmHeKNYBjwKJFi+K8886r/O7d7353fPvb346IiO7u7oh4603gokWL6scMDAw0vBU8TkdHR4P2JeIt/ctxDYzqdahfoWZFNSnUiTEfGfOe6fZwNimq3+F1eB/V4HAhTM1ZpmviN1XeV3Vku3fvruyjL1R3RT0Uw/DUOKp+jdow6pa0v6hFYum0vXv31j8zVxk1c/Sx6piog6PP1cfsZ+YFzMoD0qZMS0mNVk9PT2WbuRaVTI/GvmIePY4Z3eY9OfbUfi3XFtHYds1JyXHJscc5nJW2o65SxxttyM7lOOVY5Lk6nmhD9hzhGKAWV7ep4eU8o43at1kZyIjqeON8yHKnsm9IlstTx89EvlVzGhhTwm8Ax4BLL700nnvuucrvnn/++Vi2bFlERCxfvjy6u7tj8+bN9f1Hjx6NLVu2xKpVqybUVmOMMa2PQ8CmhN8AjgFf/OIXY9WqVbF+/fr4rd/6rXjqqafivvvui/vuuy8i3vp2uGbNmli/fn2sWLEiVqxYEevXr4+ZM2fGJz7xiUm23hhjjDHthheAY8DFF18c3/nOd+L222+Pr3zlK7F8+fLYsGFDXHfddfVjbr311njttdfixhtvjJdeeikuueSSeOyxxxpKFZV444036mk29BsawyQMueh9GCJiSIVhEw21MezG0KBei2HcrEQVw60MdWbhGqYdYQhVUzYwnMfQoNpPP7HtTAWhYaxSyCi7LtGycgMDA5V99EvWH6VUHFq+iuE9+lgplbdieEz7NkvpEVENK9KnTFGiNmaluSLylEQMS2f35VzhfM7KHXKbvlC/sj2UMhyXmUQ0hjKJhliz9CUReaoj9hXHsfqCIV+OJ51L9ANT61AmoG0o2aRpYjgm+GzQ5xfHBMcP/aZt0DmYzaOxxiFgU8ILwDHiwx/+cHz4wx8ecf+UKVNi3bp1sW7duokzyhhjTFsyNDR0QgvOiVysmsnBGkBjjDHGmDbDbwCNMcaYFsMhYFPCC8AmY/r06XV9iWqTqLOipk61PEyRkekFI6oaFupmqB9U7Rg1crzPaNJ4MIWG3reUmob3VZjGQ+9D7RdDItT9qC6L6X2oaVR4H7bnxRdfrH+mbowaLd5H+7Kk99L7Ug/F++p+Xoc27Ny5s7KtY4QaRmoPVXvFMcAxr/1c0rVSV6btYz/zvurHTLcXUZ2H1MQOlxdUUTtK6X70PrQ/09eWyqFlY5420Meqk6MukXpgPZYa3ixlT0R1LGY6Y9rMvsvK+vFZRhs5RrQ9vM9E4QWgKeEFoDHGGNNieAFoSlgDaIwxxhjTZvgNoDHGGNNi+A2gKeEFYBOj+pxSWalM+0Itz4EDByrbevxoysZRz0UbNR8ZNWfUIVITqO2jPor3UT8xHxnzhlGnpVBPxLar7q9Usk31UuyPffv2VbZVK0ltITWZmV4tK1dVgv2umij6m7pK6qW0r6lPy7R7JV2fXot9VSpxluV/5NhUfVemL6WNHMPUqzEnpV6b5dFokx7L/IhZ7s6SXpDnqm/Y9symTB/I+3IM0y+8lubG5LFsn84X2kDU/lK+ygxrAM3JikPAxhhjjDFtht8AGmOMMS2I3+KZDC8Am4zBwcF6SEHDMwzRceJryIKhGqY4IBqSZEiF91WbmFaBoR0N5TCswzBilm6DoSimFtFjGR7jffVaDH8xfEy0vaWQo4afGHLksWoz7adNvJamUeGxDEGqzbSf4TLtS/qJ/qdNGoqm/xlOzsqhsSyeht153R07dlS2KZFQm0qhcp0/nA9ZCiXuY1uzEm6ZX7hNf9Nv2nY+CxhqZkg467sszEtJBO3v7Ox8xzZpexiapU+zdD985mhbOaYJbVIcAjYnKw4BG2OMMca0GX4DaIwxxrQYfgNoSngBaIwxxrQYXgCaEl4ANhmHDx+ua2RU35KVVoqopkfgxKZOhnoW1fZQX0RUG0ZtHrdVY0OdT6bNi6jqzqjn4rGqNzrjjDMq+3hf1SrRD9Q7Mr3Jyy+/PKL91H+pzollyaiXoiZKoZaK/aO6P2qR2HbdX0rbke2jj9m+TG9HnajaRB/S/6plpRasp6enst3f31/ZVo0X/Z3ZVEp1pHBcZuUBI6q+oSaTul3aqDA1ivYH+5n9kWklCeeHbnNMZOl/6EP6jdo9ffbRD9SnMhWPwvGVpfApjVt9xqoN2fhodjZu3BgbN26Mf/zHf4yIiPPPPz9+7/d+L6666qrJNcyMiBeAxhhjTIsx0W8AFy9eHHfddVf8yq/8SkREPPDAA/Gbv/mb8eMf/zjOP//8d2yHGT+8ADTGGGNajIleAH7kIx+pbH/ta1+LjRs3xg9/+EMvAE9SvAA0xhhjWoyxWgAy/N3R0dEgHSDHjh2LP/3TP41f/vKX8f73v/8d22DGFy8Am4zBwcG6Rkm1V5zo1Mns2bOn/pnao1IeQNVEsVQac2dlJedIVlJL89dFNGpudJs6JdqkNvPBRR2caseYN6+U3073l8q7qW6J2qksVyHtp/aI/a46OT7I2e+qgaJfqEFTn1Pfxb5j+7KclPSbasV2795d2UcNIDVcCu3nuTp/aMO8efMq26qZ5bgtaXGVktYt09vRb1l5PdWmRlTHKf1SKoOn449ty3L9cazxunosxw/HPOelzq3S/ND7Zs+UiKofOa/Ydj4btC8zfWMzsGTJksr2nXfeGevWrRv22GeeeSbe//73x+uvvx7vete74jvf+U6cd955E2CleSd4AWiMMca0GGP1BrCvr6/yz07Z279f/dVfjaeffjoOHToU3/72t+P666+PLVu2eBF4kuIFoDHGGNNijNUC8PTTT2/4b/eRmD59ev2fQFauXBlbt26N//Jf/kv8t//2396xHWb8cCUQY4wxxow5tVqtQWZgTh78BrDJePXVV+taFdWsUGfF1/SqeWKONJLpspjTLdM4ceJT46TXpW6P31yp+9H78j7UgqmWhxoc6r207fQD9VG8lvZHti+iqluibizTKZZ0ldQiHTx4sP45y+/I+7CtfAOg/cMxwbGY2cwxwX7Xc0v1WDXfGjWM1HCx7Xpt6jWZSy4LgVFvp2ORY4LzkONYxx/7g7k71caSXk01dlnuvuHQMcQxzfbpuM7yU0ZUtXq0l2OCzwq9b0mnqzbRT+wPPZaaUep0OYd13GbPn/Fkov8L+Mtf/nJcddVVsWTJknjllVfi4Ycfjscffzy+973vvWMbzPjiBaAxxhjTYkz0AnDv3r3xqU99Kvbs2RNz5syJ9773vfG9730vrrzyyndsgxlfvAA0xhhjzAnxjW98Y7JNMKPEC8Am49ixY/XQi4Z9GEpjOCnTYTDUydCIhnqyEB33M1TGEIuGQxhiZBiIYTg9nvYy1Kk2lkKzymhCyxHVsBz3MVWKUkqRoeGnvXv3VvbRxwx5aboWjhGGEdVPTOlBH+t2VkIrorHsmvYd/T8wMDDifdh3S5curWxrf9GHHE+8lp7LtC9ExyLHbZY+hz5lWh6GFXUMlUL/2pcct1nJv1K4mH7S42kT+13t4LEqTYiojs1FixZV9nHMc24pHP/c1rnGEnkMH6u0geOUYz6THGjbJ7K+rmsBmxJeABpjjDEthheApoT/C9gYY4wxps3wG0BjjDGmxfAbQFPCC8Am47TTThs2DQy1PES1MNRHEWpsNGUDdTI8Vu3gsdQ4KdTUMK1Cpt2jbolaN9XnULOVlV2jbollpZguRG2iHoqpUjKtJLVhul1K08H0Gtrv1DHRT6oXZN/RJtUl0k9Z2biIant37txZ2cc/OurzUsk/tZnjhWk8Mr0atZHU7un8ofaL19Vr0V6OcaJ9l2kwuU29bJaupVTTlfNF78PnCMeInssxkfmYmtFS6hSOC6Wrq2vE+2baSJ7L9D4l3fRIfi09e8cSLwBNCS8AjTHGmBbDC0BTwhpAY4wxxpg2w28AjTHGmBbDbwBNCS8Am4xFixbVtSqqm6NOiXo13U9NDfU41JGpfofnUn+jNh04cKCyjzos1bNRG8P7UCOoNmVl7yKqOj9qkaiPUjuYn48+ZtvVZraH98lKalEbpn1ZKvmXlfHLyvZF5OXdFi5cWNnWa5XyGDLfmvYB8yNSk6ntZe44Xlfbylx+pRKAei1q6NgeHQf8I5nlq2TbSjn4VKPG+/BYvXZW3jCiOt44HzINZkR1brHf+dzQvJ+l+a16R9pAP1Gfqn7iOGUOwQULFtQ/s23MU6q6P44nzju2h74Z6bjxxAtAU8IhYGOMMcaYNsNvAI0xxpgWxG/xTIYXgE3Gr/zKrwybCoQljxiOYYkthSEWpkfQhwjDSwxfaiiKYR+GTDVMwn0MufBaGkLlQy7bPnToUGUfw0kawqNfGL5hqFbDckwRw/7RUNru3btTm5iKQymlslAfM+1L9seB4e4sjQfto19oo44RhjKZVkhD/xwDWeog+pvtoc3aPp7L+abbtJ9+0jG0bNmyyj6GtJlGRcPjTENCdMywX7Mxnu0bblvDpnzGnEhqGu13XqdUBk/7g+OHzxWVNtBPlBQoDPmW/KY2q89cCs6cTDgEbIwxxhjTZvgNoDHGGNNiDA0NFQsElM43rY0XgMYYY0yL4RCwKeEFYJMxd+7cuu5I9V3UqFBfRF2TUkrFoboaap5GSncQEdHZ2VnZzspmUVND3Q91WKrtoTaM6R20PXyoMfWD6oCYToa6Jd5H/UQdHL9Nq4YuKzVGm6lD5Hamu6T/2XaF/qZ+UG2mFo+wfQrHE32s+6mzymzUdB/DnUstqPZXVv4sItercR6qjSwFx7ZmfqKWjfND+5I6OI5T7S8+F2g/+13vy30kS2OT+Y19RZvYP5muj23XfuZ8yFIFlcod8jmofZCl0TJmMvEC0BhjjGkx/AbQlPAC0BhjjGkxvAA0JbwANMYYY1oMLwBNCS8Am4wpU6bUtUOqj6Kei9oq1c1Qr8Lt4fIMjnQf5gJTTRHLiVErptul8lXUDOl9Snoc1RRRS0W9lOZiow/ZVmqVVFNEfRR1lqoHK9mkek7qn9hX1JWpb2h/VnKOD39ql7St1Laxn7McjqXSgmo/+4O5IlVXSR9SY8q2q428T6Z/5D6OU91PjR+3OQdUu8p+pt9U81jS5qlvurq6Kvuot6MfdVxQQ0e9ndrMcpOl0nAKxwTRvuV1OO90P/2dnUvNKPuDzxwdQzom/J+15mTCC0BjjDGmxfAbQFPCC0BjjDGmxfAC0JTwArDJ0Emt4ZlSuaQsBMxwDLc13MEUMQybjCbcwfDSSNeJaAxrabhpNGFQhriytCMMLdPHDIFpyIhlvZhuQ9PNHDhwoLKPoeVFixaNaBMf0llKGYbh6P8s3Q9t0n5n6K8URtRrMzTLc7NUHPR/T09P/TOlCqXScDq+6Ce2Xa/FfRynus1QJkPnnFvqi1IalazvOMZ1vlCmkYXGI6p9naVYoY2ULrC0XSY7KZUA1LHI9D8M3apPd+7cOeK+iPz5mqXViqjOf+1Xh4DNyYQXgMYYY0yL4TeApoQXgMYYY0yL4QWgKXFK+RBjjDHGGNNK+A1gkzE4OFjXkagOhXoo6mZ0PzU01N9Q26O6M2psMr2U6twicr0gU5Ts27dvxOvyWmx7lpqD+6i70m+91K5Rw0U/qo3UYVGLpJqo+fPnp/brdZm2g/ounpul16DmSXVz3Eftkmqi6EPqH6kNy8j8lOk1aQf7hmOE41bnEttO3SXvq1DTmM3RrJ8jqv3BfdSkqc20l2NG99OnpRKG+mygHzjWMp9maW0477JUU7SRfsl0xhwjnN96H6aT4Tgl+uzj/JgohoaGTkhzaL1i6+MFoDHGGNNiOARsSjgEbIwxxhjTZvgNoDHGGNNiOARsSngB2GS88MILdZ2L6maox6HGRnU0fLU/d+7cynamgeJDgboZtYm52KiPyrQxWQkq2kEdU3Yu9VHUSqoui/kSS+X2tD3ULdHHaiM1gCxxplokarToU9qomqis9FtE1Y/Up1G/NpqSWryv2kh7OZ60f5g7jrn81EaOU47pPXv2jLg/GxMR1dx5tJc2qR6S9nPcZnpa+jTLi8mxRl/otWgDc1JSz6nPFbaHc0ttpA4xKxvHnIGl0oI6/jieqJ3UbbadPlYbMy1tRGPf6TNHx0TpOmOJQ8CmhBeAxhhjTItRq9VO6C2eF4CtjzWAxhhjjDFtht8AGmOMMS2GQ8CmhBeATcbg4GBd86K6pZK2RDVn1Ajx3Gw/dXtZnVRqgqiL0+vShuzYiKo+jzos3lf3U8tGzZC2j9o2ap6oK1O/lUIvZ555Zv0z8yXS/6p5oj4wq6EaUc2nSC0VdUt6H9apZT8r1EKy7fT5SPeMaKxNq/ct1d3V/ijVYl64cOGINnJMUCumOeGoN810ZLxOyUZtH/s901lyH/+Q6zigT0eTf7Ok9dT7lvINqk18xpT0wDq/S/WutZ+zfKcRVf9zPrA/snyco6mPPpZ4AWhKOARsjDHGGNNm+A2gMcYY02I4DYwp4QVgk/HKK6/Uw2YaomRIi6EbDY8xLMIwXJbqhWE3hk00rMKQI4/N0lyU0rVoCJj7GELVa/FYlnjS9u3du7eyjylXiLaBYWmGi3Wb9mp4OKKaQoPXZfg1K6PF8N6uXbsq29o+tpWhNYXjhTYxPKbHM4TNsLv2M+/DEJW2vSSJYN+qzWx7NvYOHjxY2ccxr2Fd2sTQOP2kMCzNcZuVPGNaFbWJoc3Mhohq2xmy5n3Up+wrhoB1XDM0y2cO+0dlAyxVWQrzZvvUfj5fed1svGXpicYTh4BNCYeAjTHGGGPaDC8Ax4A333wzfvd3fzeWL18eM2bMiLPPPju+8pWvVL7t1Wq1WLduXfT09MSMGTPiiiuuiGeffXYSrTbGGNOqHA8Bn8iPaW28ABwDvv71r8cf//Efx7333hv/8A//EHfffXf8x//4H+MP/uAP6sfcfffdcc8998S9994bW7duje7u7rjyyivTahjGGGPMO+F4CPhEfkxrYw3gGPB//+//jd/8zd+Mq6++OiIizjrrrPjmN78Zf/u3fxsRb03EDRs2xB133BHXXHNNREQ88MAD0dXVFQ899FDccMMNb/te06dPr2uStMQQy5ZlOhlqdahPoy5LtTE8l/dVm7LUITyWeijqfqhfU20b9TdZGozOzs7KPmp51E/0YclPqsOiJosaIi3/tnjx4sq+s846q7KtujKmjMn0aRFVrRXbQ/tV08WH/8DAQGVb+45aMNrA++gYok95rvYPxxPH4qFDh0a0P0tXFFHVvnFfpkflWxJuq/3UN3Kb56odLDHH8ZWlOuKXTJ1b9D/nXTaeqONje9RPWUm2iKqPs3J6EXnfUivJtEKZ1pDaW/U/fUqdK23UvtS+8ls1czLhN4BjwGWXXRZ/+Zd/Gc8//3xERPzd3/1d/OAHP4jf+I3fiIiI7du3R39/f6xevbp+TkdHR1x++eXx5JNPDnvNwcHBOHz4cOXHGGOMeTv4DaAp4QXgGHDbbbfFtddeG+eee26ceuqpceGFF8aaNWvi2muvjYiI/v7+iGgsiN7V1VXfR3p7e2POnDn1nyVLloxvI4wxxrQME60B7O3tjYsvvjhmz54dnZ2d8dGPfjSee+65cWqdGQu8ABwDvvWtb8WDDz4YDz30UPzoRz+KBx54IP7Tf/pP8cADD1SOY4qFWq02YtqF22+/PV5++eX6T19f37jZb4wxprWY6DeAW7ZsiZtuuil++MMfxubNm+PNN9+M1atXpymkzORiDeAY8Du/8zvxpS99KT7+8Y9HRMR73vOe2LFjR/T29sb1118f3d3dEfHWm8BFixbVzxsYGGh4K3icjo6OBn1OxFvak+NaG9WllLQ8qv/iPk506ltU68PJTN1Plg+LWiq9FnU/1C1Rb6TaHuZeo14n0/1k33J5T+qhspxpS5curWxT86R53JjTjTpF7Tv6iTZk5d7YdnLgwIH651IZP70WfTjcuFVUW5Vp5iKqfUCbqO9SP/I6pdyXCkv+UcOY/WFkbkWdS1kezIhGmzM/Uqeo57JtnLNZ2bWsvB6hTzn2lFJuxWwe0t/0o85LPn/YHh1P7FfOb+07+oHzkDZpfsVsvLcS3/ve9yrbmzZtis7Ozti2bVt84AMfmCSrTIbfAI4BR44caXigTZ06tT7Zly9fHt3d3bF58+b6/qNHj8aWLVti1apVE2qrMcaY1mey08Ac/yLFusnm5MFvAMeAj3zkI/G1r30tli5dGueff378+Mc/jnvuuSc++9nPRsRbb2nWrFkT69evjxUrVsSKFSti/fr1MXPmzPjEJz4xydYbY4xpNcaqEgj/AXGk6BTPXbt2bVx22WVxwQUXvGMbzPjiBeAY8Ad/8Afx7//9v48bb7wxBgYGoqenJ2644Yb4vd/7vfoxt956a7z22mtx4403xksvvRSXXHJJPPbYY2nYZDhOP/30ethVv6GVSqdpKIQh3lJ5Nw2rMGzFELCGepiSIUvfQD/wunwIcb/C0I7CsBXbk33rLaWFUT8ynMRvwXot2kubNPzKvuOx9LGGn1gmi/2sYS36gTZmaWAIx5cen5Uwi6iO4yztTkQ1DUyppFn2B4w+Zfk9tSkrvReRh//YHqb4ycrIDacnPg7DukyXo+Fi9g3byvto23kfShnUx5w7fDZkKa1IluaJzz3ar/1Fmzh39FyGfCkzyVId7dy5c8R7NAP8B8Q777wz1q1bl55z8803x09+8pP4wQ9+MI6WmRPFC8AxYPbs2bFhw4bYsGHDiMdMmTIl1q1bV5w4xhhjzIkyVm8A+/r60tyd5POf/3w8+uij8cQTTzTkODUnF14AGmOMMS1GrVY7IR3f8QXg6aef3vAWeaTjP//5z8d3vvOdePzxx2P58uXv+N5mYvAC0BhjjDEnxE033RQPPfRQ/Pmf/3nMnj27nuN2zpw5DeF2c3LgBWCTMXPmzLpGSV/FMyXG3LlzK9u6n7olfkukDkh1QtTYMGWGatSoi6FuL6uDTF0Z75OdS32Oanmo76KfMm0hNXNEzy2ljNE+YJoO6rLUj9QAlrRu+uClTQwP6XhiChzqu3bv3j3iPXldPvxVg8b2EB2LHBPU26kGkJot2kRfaN/RpkxTSjJNKe0dzXgibI/q4kpl4/S+nM9aojCicZ7peONzgm3XYzNdcUR1DvBY3od6YG0f28Oxp9eif6mR1XlY0v8STQOj96zVasV+HyvGKgT8dtm4cWNERFxxxRWV32/atCk+85nPvGM7zPjhBaAxxhjTYgwNDRW/IJbOHw3N+A8u7Y7zABpjjDHGtBl+A2iMMca0GBMdAjbNhxeATca0adOG1QDyv7QyzQ01NdTX8dW/auoYUqCORs9lri/qflSrRHupg6PuR3VZWsIsolG/pvfldQ8ePBgjwWMzLVVEVSdEH1Jzpj4t5WVU7Vsp7x+1Sdpf7DtqxVQ/VcrFlukd2Xb2h8IxQf2m2sjxxPtk5Q65nZWco095rPqR+SvZHt0uleLjuVl+RR6r9lO3l5Xq4xiglphjRp8dfOZkWklq8zjm1eZSyTzeR/1U0sjqGOGzi3kYFY7L0vNqpBynQ0NDDT4eLyY6BGyaDy8AjTHGmBbDbwBNCWsAjTHGGGPaDL8BbDLe9a531UMgWVkjvr7XEAvDqQzPMFSlIaOshFNENTTF8AOvqzbSplKZJr0PQzmZ/QyrMZyk92HYh9tMIZOld8jSwOzdu7eyb+HChZVttb9UMo/9rjbRfoa0dX8pbYruz8LOEY3jS33Oc+lD3eZYY9hN256lAhruvhraHE0/0wZeV9uehfYjGtMBZWXw2O9qM9PN0P96LuUg3GaoOUvzxPuoHaW5pH3HtnF+8D5qc1YmLqI6DpjaiM8NbSv9kj1jIqrh8ayk33jiN4CmhBeAxhhjTIthDaAp4RCwMcYYY0yb4TeAxhhjTIvhELAp4QVgE6MaFWpSqO9SvQv1dnzVz7QwqsmhDovnqi6I6SioI8vSN/BYtkePp+Yp8wVTSmTHlrRUfECq7oepHqg3ympjvvDCCyPaRH1gpq/juVqeKqJRWzUwMFD/TD0aU+2oDo5jgH1JX2gf8NhMa0WfZXov6sh4Ltun9y1p2/S+THGTlTFjOK5UYk7bwPFPPykc49xWX9B++on9M2/evPrnTF/HbbaVKVdUW8zUTLQhS11D+zMfU4NJm3TssV9pE5+pI2kAqQMdTxwCNiUcAjbGGGOMaTP8BtAYY4xpMRwCNiW8ADTGGGNaDC8ATQkvAJuMI0eO1DU9o9G36LHUBO3bt6+yTe1blt8u01aVyiWpRpD2Mq9WV1dXZVs1giUNmsL8Y8yrp/rHrNTbcGjb2TfU0CnUIVKfpvupj6Ieito3RTV+ERH9/f2VbfUNdaBZacFSLkLq1TIbeW53d3f98549eyr7WIoss5fXpSZTfU4tGK+luqosT15ErmHkmOd+PZfX5RzWccAxQR2Yto9zff78+ZVtzg/dpjaSNqmuj22jTT//+c/rnzNdcUQ+P7ISeRHVMcNxyOegtpVjgJo/+kn7Vp9lE6kBNKaEF4DGGGNMi+F/AjElvAA0xhhjWhCHcU2GF4DGGGNMi2ENoCnhBWCTMTQ0VH81r3qSUp4w5uTLjqU2SaEeh1ox1QExl1+WB60Uqjh06FBlm9olJat9Sj9Ry5PZUaojnJ3Lh+nu3bvrn5knr6enp7KtfqQOjnq1LIcd9YP0qeYJpE3UTqpN7ItM4xdRHbeq8YtozE2oYSjq4Ohv1ZxxTFPDRY2pjluOCR6rOjOOCfpCbaT/GWIr5S5U2J6sFjDHU5ZDk+OJ2lvdLukStZ+z8R8RsXjx4vpnjuHt27dXtvks076mxo7z/e3ui6j2F7WE1BpSx6t+1X7Nnq3GTDReABpjjDEtht8AmhJeABpjjDEthheApoQXgE3GsWPH6mElDe8xfMQQke5nCIWhKIY3NMTC8BjRMNCCBQsq+5hmgSEjpVQmS9N4MNTMtus2Q44My2mKCYZ9GHLMQpIMRTF1hfqc4SMNZUZEzJ07t/6Z4Uimn8jSgzDkxbCujgsey7arHUypUkqNotdmP2fXKpX50nHAVCjc5hhRH7M/6CdtD23iH03dZliaIXj6Sc/lGKfMQdvHfVnJM6Z94fxYtmxZZVv7h+3h2NRtPjey8nqcK9o3EeX5onB+aOojhr8zeQvHNOdZJrHR1DNeVJmTCS8AjTHGmBbjRNO4OA1M6+MFoDHGGNNiOARsSpxSPsQYY4wxxrQSfgPYZAwODtb1KFlKAe5TLQz3UV9EPaFqbqgNY9oI1fZkKWIiqt8wSyWcspQf1O5Q16QpTZjehFow1QWxrQsXLhzRBtpMPRc1QnpthlqyMmzUXVFXSQ2d9g/L0XEcaL9nZckiqn3HfWx7lkaF5eio1VPfsK+oI1u6dGn9s6a0Gc6GLPURtWG8j5KlfSGcZ4T9oe3lGOdc0r7LUpJEVP3Ptzy8D+e36tnmzZuXnqvaSY5LovOjpI3kfMlKVfJaOg44v7mtGmbO30xXyf36zJnIUnB+A2hKeAFojDHGtBheAJoSDgEbY4wxxrQZfgNojDHGtBh+A2hKeAHYZJxyyil1TZJqfahxom5JdTLU0FB3RQ2akumJIqoaqFLeM7WRmj9qnLIycqV0BWxfdl21iT5lfjLuz3R9fJiq36g9YttVQ0TdoWqyeGxE1efUhjFHGvPdZceq/SV9HTVa6nNqwzJdFrVg1Kpq2+nvUik47Xf2HbVuOp44/qmDUxs5DjnmmZNSbaZ+k+NWbebcZ3uy/KFZWyOqfZtpIyOqY4Zji2Ncnysc04TjS+cl5yiPzci0hNT8cZzymalt13nH8TKeeAFoSngBaIwxxrQYzgNoSlgDaIwxxhjTZvgNYJMxZcqUevgnS2nAEIumH2D4iKkJsjJsDAvwXA3fMNzB0E4Wbs3CxRHV8BnDPPRFdh2GdtRvDNGxnBXDTZoKgjbwPppmhWE4+l/9SJ/S/1nKFZLtY9sZPs7OZbgvkyPwuvSxhiDZVoaE9dwsTBjR2D5N8cM0QtmxpRQlOp7YVobr6ScdF5x3bE+W2oUpTNSPHGu0n2NzNONWnzNsG59BajPD3ZxL9Jv6gv3ObW0f+y4LyZfS47Bv1ec69x0CNicTXgAaY4wxLYYXgKaEQ8DGGGOMMW2G3wAaY4wxLYbfAJoSXgA2GdOnT6/rilTDwnQN1KSo9iXTyEU06gcVpkrISrbxOiylphqiLI3CcGh7qKvhturiqJHjturXWE6MuqVFixZVtlWLRL9Qv6bb1F2xf/RafCgzLQz7Xc+lNo8aLvUFtXg8V3VyvCePZeog6teyc9UmllLjmFeNKf3N/uD40mtRA7h48eLKtqau6e7uruzj2NO2sm0c89Sr6bXYV9TJaUlAjlOeq2OINtHHnO+6nyl8eF89t5RGRfV21P/y3CxdEY/NfMF5x3O1b1lysaTf1LZrP0/kf9Z6AWhKOARsjDHGGNNm+A2gMcYY02L4DaAp4QWgMcYY02LUarUTCjl7Adj6eAHYZEybNq2urVOdE/Ur1EBlLFiwoLLd399f2dYHATVzfMCoHoxaKmqRRsqVFdGoqRlNXkNqqdQmzWM2nE1Zni4+EPfu3VvZVk0U/c/7aHtLuddUT8TcZVnpMR5P++lTtYn9QQ2dattoE+9DPaFem3pAas6yknM8Vu/LMUHNH/VrPT099c/Udq5YsaKyrfOF1+W4Va0b8/FxntGP6icey2tp/9CnWT/Th9QlZs+RrMQc70utKu3XcUs/lMrg6RwoaRp1/tN+ziXV+XFfpvkj2jbabsxk4gWgMcYY02Kc6Bs8vwFsfbwANMYYY1oMLwBNCS8AmwwV9mp4jCE7pubIUqEwxUGWRoWhD4ZG1A6memB4UkMwc+fOrexjSCVLD8IQI0vOKbSf52poin4ohbw0bUwpjY36gn3H+2jbS2Fcon3LtCkMj6lNtJ/9oTYyrMV+57naP9zHscmQvZKlA8kkAxF5iJjSBY5N3Wa4kmNc5QhZqbSIxn7XcmNMO8JSZOpzXoc+1fvSh3xuMBWS+rUk29D9vM7AwEBlW0Pc3Me+pM3aHo5x9o+2j9eldIR9qbDtDHGPlA5rotPATOb55uTHaWCMMcYYY9oMLwCNMcaYFuN4tOhEfkbDE088ER/5yEeip6cnpkyZEn/2Z382Pg0zY4YXgMYYY0yLMdELwF/+8pfxT//pP4177713nFpkxhprAJuMI0eO1DUlqjuhlo3aF92mfoXHZmkj+FCg3kuvRa0OU4mojonao1J6DdXrlOxXDRTTT2Tl0WgTbcjStWQl2SKqfqQWjz7O9JvUFFHrpmXYSqXgVD+VpdrgfahP43XZl5qmhMdSv6m+4FijDk7nA+1nOTqeq33LkoVMGaPjjfaW9JAjXSeiUUem/VHStqmf2NYsBRE1mLSBKWU09RHHLceIPpP4fNq1a1dlWzWCHKc8N9MWc6zxWlm5wEznyrnP+U39oJazUxsmUgM40Vx11VVx1VVXTbYZZhR4AWiMMca0GENDQyeUd/D4lwouwDs6Ohq+iJrmxCFgY4wxpsUYqxDwkiVLYs6cOfWf3t7eSW6ZGSv8BtAYY4wxw9LX11cJnfvtX+vgBWCT8cYbb9S/mY2mnJjqZqgRKumWsnJcLNOkWhlqgqixyUqc0Sbq+lRjw3OJ2l8q/6T5yLiPeij6gscrDKNoe5hvkP7X+2T3GA7tD16XujK9NscP+0N1TVn5ueHum2kaie7nfTiOVdNFTVaWo45Qg5npIakj47k63th31NsR7R+Of95Hj2U5twzOyb6+vsp2liuPutaslB21t9u3bx/xWOYlLembte3Uo2ZlIdl2tlXHG/uOx/Jamr9S2zaRpeDGKg/g6aefnuZWNc2LF4DGGGNMi+FE0KaEF4DGGGOMOSFeffXVeOGFF+rb27dvj6effjrmzZsXS5cunUTLzEh4AWiMMca0GBP9BvBv//Zv49d//dfr22vXro2IiOuvvz7++3//7ydkixkfvABsMo4cOVLXpqjuhNoSam40Pxa1X5zo1PaohoWaP2qpdJs6GV5X9TiluqjUyem12Z6sviz1RJnWjfouwvuoTqikq9Rr04asBiltyvILRlTbTh1Pln8wqx8bUdVDZnn+Ihrbo/fhGOF95s2bV//MtlPflUENYJYnkGMt0/Vx/NNGbR9z0pXGl96Xeedok47FUm5I7fcXX3yxso91kJmvT/uaY4TaPB0HtOHgwYMj2sh9peeIHs+2c4zrfmolmf+Rz1CFbaeN2nZ9PrVyLeArrrjCYeMmwwtAY4wxpsUYqzyApnVxHkBjjDHGmDbDbwCbjOnTp9dDahrWGi5bu6LhP36zY2gwC1Mw9UYWbiUM7WjIlKE0huEYQtJwE8NjDLVp+JX3YYhIYSiT12XYR+/DtBH8Jp6F9+hDDaEy/MX+0PQThD5lOTS9L4/Nyolx7JVCkNkYYThZfcwQYxYCLpXqYt/pOGDbOcZ1P+UHWaic845jUVMbcZs+5LGaUqY0d7TttGnnzp2VbfalSkBYIo/X0hAq+472K/Q3fcy+VRtpA+ewPjN5LOe3jkXOO6ab4bzT/pisUnD+L2BTwgtAY4wxpsXwAtCUcAjYGGOMMabN8BvAJuH4tzEN72QVLrIwEENCDEXxWrqf5/I+us1vkDxWwzH8L83RtIdhNx6r+7mP98nCSSTbz+tmYuzMhoiqzfR/qT+yffS5hnlL/wk70jiMGNv26NijvfzP6myccozzXA3TMcTIih0aQuV12c+6vxRyzKQM2X+RR+T9QZuy/3TnuVn7aFMW4qYN2X9AZ8+U4e6TPXOysXciz8xSmH2k+xz/PFFv1/wWz2RMqXmENAUvvvhiLFmyZLLNMMYYc4L09fXF4sWLx+Xar7/+eixfvrxS1vKd0t3dHdu3b2/QYZrWwAvAJmFoaCh2794dtVotli5d2lCg21Q5fPhwLFmyxH4qYD+9Peynt4f9lFOr1eKVV16Jnp6ehjfaY8nrr7/e8Ib2nTB9+nQv/loYh4CbhFNOOSUWL15c/49LF+h+e9hPbw/76e1hP7097KeR4X/fjwennXaaF26miP8JxBhjjDGmzfAC0BhjjDGmzfACsMno6OiIO++8M02ma+ynt4v99Pawn94e9pMxzYP/CcQYY4wxps3wG0BjjDHGmDbDC0BjjDHGmDbDC0BjjDHGmDbDC0BjjDHGmDbDC8Am4o/+6I9i+fLlcdppp8VFF10Uf/3Xfz3ZJk0qvb29cfHFF8fs2bOjs7MzPvrRj8Zzzz1XOaZWq8W6deuip6cnZsyYEVdccUU8++yzk2TxyUFvb29MmTIl1qxZU/+d/fQWu3btik9+8pMxf/78mDlzZvzar/1abNu2rb7ffnqr7u3v/u7vxvLly2PGjBlx9tlnx1e+8pWGOtrt7idjTnpqpil4+OGHa6eeemrt/vvvr/30pz+t3XLLLbVZs2bVduzYMdmmTRr/8l/+y9qmTZtqf//3f197+umna1dffXVt6dKltVdffbV+zF133VWbPXt27dvf/nbtmWeeqf32b/92bdGiRbXDhw9PouWTx1NPPVU766yzau9973trt9xyS/339lOtdvDgwdqyZctqn/nMZ2p/8zd/U9u+fXvt+9//fu2FF16oH2M/1Wpf/epXa/Pnz6/9r//1v2rbt2+v/emf/mntXe96V23Dhg31Y+wnY05+vABsEv7ZP/tntc997nOV35177rm1L33pS5Nk0cnHwMBALSJqW7ZsqdVqtdrQ0FCtu7u7dtddd9WPef3112tz5syp/fEf//FkmTlpvPLKK7UVK1bUNm/eXLv88svrC0D76S1uu+222mWXXTbifvvpLa6++uraZz/72crvrrnmmtonP/nJWq1mPxnTLDgE3AQcPXo0tm3bFqtXr678fvXq1fHkk09OklUnHy+//HJERMybNy8iIrZv3x79/f0Vv3V0dMTll1/eln676aab4uqrr44PfehDld/bT2/x6KOPxsqVK+NjH/tYdHZ2xoUXXhj3339/fb/99BaXXXZZ/OVf/mU8//zzERHxd3/3d/GDH/wgfuM3fiMi7CdjmoVpk22AKbN///44duxYdHV1VX7f1dUV/f39k2TVyUWtVou1a9fGZZddFhdccEFERN03w/ltx44dE27jZPLwww/Hj370o9i6dWvDPvvpLX7xi1/Exo0bY+3atfHlL385nnrqqfjCF74QHR0d8elPf9p++v+47bbb4uWXX45zzz03pk6dGseOHYuvfe1rce2110aEx5MxzYIXgE3ElClTKtu1Wq3hd+3KzTffHD/5yU/iBz/4QcO+dvdbX19f3HLLLfHYY4/FaaedNuJx7e6noaGhWLlyZaxfvz4iIi688MJ49tlnY+PGjfHpT3+6fly7++lb3/pWPPjgg/HQQw/F+eefH08//XSsWbMmenp64vrrr68f1+5+MuZkxyHgJmDBggUxderUhrd9AwMDDd+y25HPf/7z8eijj8b/+T//JxYvXlz/fXd3d0RE2/tt27ZtMTAwEBdddFFMmzYtpk2bFlu2bIn/+l//a0ybNq3ui3b306JFi+K8886r/O7d73537Ny5MyI8no7zO7/zO/GlL30pPv7xj8d73vOe+NSnPhVf/OIXo7e3NyLsJ2OaBS8Am4Dp06fHRRddFJs3b678fvPmzbFq1apJsmryqdVqcfPNN8cjjzwSf/VXfxXLly+v7F++fHl0d3dX/Hb06NHYsmVLW/ntgx/8YDzzzDPx9NNP139WrlwZ1113XTz99NNx9tln208RcemllzakEXr++edj2bJlEeHxdJwjR47EKadU/3RMnTq1ngbGfjKmSZjEf0Axo+B4GphvfOMbtZ/+9Ke1NWvW1GbNmlX7x3/8x8k2bdL4t//239bmzJlTe/zxx2t79uyp/xw5cqR+zF133VWbM2dO7ZFHHqk988wztWuvvdbpKGq1yn8B12r2U632VoqcadOm1b72ta/Vfvazn9X+x//4H7WZM2fWHnzwwfox9lOtdv3119fOPPPMehqYRx55pLZgwYLarbfeWj/GfjLm5McLwCbiD//wD2vLli2rTZ8+vfa+972vnu6kXYmIYX82bdpUP2ZoaKh255131rq7u2sdHR21D3zgA7Vnnnlm8ow+SeAC0H56i//5P/9n7YILLqh1dHTUzj333Np9991X2W8/1WqHDx+u3XLLLbWlS5fWTjvttNrZZ59du+OOO2qDg4P1Y+wnY05+ptRqtdpkvoE0xhhjjDETizWAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFthheAxhhjjDFtxv8Dlb1DrPVgkeAAAAAASUVORK5CYII=\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(100,&nbsp;100)</td></tr>\n",
       "<tr><td>dtype</td><td>float32</td></tr>\n",
       "<tr><td>size</td><td>39.1 kB</td></tr>\n",
       "<tr><td>min</td><td>0.7578272</td></tr><tr><td>max</td><td>7.5516324</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[2.5495512, 2.1518824, 1.8934631, ..., 1.0838996, 0.9818381,\n",
       "        0.9806079],\n",
       "       [2.0891273, 1.8271031, 1.7071246, ..., 1.2431078, 1.249447 ,\n",
       "        1.2490945],\n",
       "       [1.7942544, 1.5672424, 1.4824032, ..., 1.3784474, 1.3799691,\n",
       "        1.2459035],\n",
       "       ...,\n",
       "       [1.9805651, 1.7442198, 1.5428588, ..., 1.6989396, 1.6650388,\n",
       "        1.3941103],\n",
       "       [1.7917184, 1.6217978, 1.5557053, ..., 1.914941 , 1.7043592,\n",
       "        1.5668714],\n",
       "       [1.8778669, 1.8098779, 1.5343451, ..., 2.0801234, 1.6664302,\n",
       "        1.393364 ]], dtype=float32)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noise_removed = cle.mean_sphere(background_removed, radius_x=3, radius_y=3)\n",
    "\n",
    "noise_removed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "872d9c72-87d4-48ef-b35a-4e12f05176e8",
   "metadata": {},
   "source": [
    "## Image segmentation II\n",
    "After correcting the image, we can try segmentation again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ef191066-f7f0-4cb3-9b8d-e7035bda97aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(100,&nbsp;100)</td></tr>\n",
       "<tr><td>dtype</td><td>uint8</td></tr>\n",
       "<tr><td>size</td><td>9.8 kB</td></tr>\n",
       "<tr><td>min</td><td>0.0</td></tr><tr><td>max</td><td>1.0</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0]], dtype=uint8)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binary2 = cle.threshold_otsu(noise_removed.astype(np.float32))\n",
    "\n",
    "binary2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cbd4b49c-415d-4a0d-8b80-47d3bc195b5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<__array_function__ internals>:180: RuntimeWarning: Converting input from bool to <class 'numpy.uint8'> for compatibility.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://www.napari-hub.org/plugins/napari-segment-blobs-and-things-with-membranes\" target=\"_blank\">nsbatwm made </a>image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(100,&nbsp;100)</td></tr>\n",
       "<tr><td>dtype</td><td>bool</td></tr>\n",
       "<tr><td>size</td><td>9.8 kB</td></tr>\n",
       "<tr><td>min</td><td>False</td></tr><tr><td>max</td><td>True</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "StackViewNDArray([[False, False, False, ..., False, False, False],\n",
       "                  [False, False, False, ..., False, False, False],\n",
       "                  [False, False, False, ..., False, False, False],\n",
       "                  ...,\n",
       "                  [False, False, False, ..., False, False, False],\n",
       "                  [False, False, False, ..., False, False, False],\n",
       "                  [False, False, False, ..., False, False, False]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sneak preview: watershed\n",
    "import napari_segment_blobs_and_things_with_membranes as nsbatwm\n",
    "binary3 = nsbatwm.split_touching_objects(binary2)\n",
    "\n",
    "binary3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "181953bc-002a-4b4a-92f2-10e08e4dc48e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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