From ed3d1c9cad09cd4cbb7cd95fa9af4983dea179b4 Mon Sep 17 00:00:00 2001 From: Ruiming Cao Date: Wed, 19 Jun 2024 15:37:36 -0700 Subject: [PATCH] minor edited on layout --- README.md | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 607490f..4b6fb23 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,14 @@ # 🚀⏱️ Neural Space-time Model for dynamic multi-shot imaging - +

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-[![Project Page](https://img.shields.io/badge/Project_Page-coming_soon-blue)]() -[![bioRxiv](https://img.shields.io/badge/bioRxiv-2024.01.16.575950-b31b1b.svg?style=flat)](https://www.biorxiv.org/content/10.1101/2024.01.16.575950) -[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) +

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**_Neural space-time model (NSTM)_** is a computational image reconstruction framework that can jointly estimate the scene and its motion dynamics by modeling its spatiotemporal relationship, _without data priors or pre-training_. @@ -15,6 +19,8 @@ By replacing the reconstruction matrix, neural space-time model can remove motio The usage of NSTM is demonstrated through three example imaging systems: differential phase contrast microscopy, 3D structured illumination microscopy, and rolling-shutter DiffuserCam. And there's [a guide to incorporate NSTM into your own imaging system](https://nstm.readthedocs.io/en/latest/nstm_on_new_system.html)! +**See the full documentation [here](https://nstm.readthedocs.io/en/latest/) and the original paper [here](https://www.biorxiv.org/content/10.1101/2024.01.16.575950).** + Demo on DPC: [![Open DPC Demo In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1QNcRaNjG1CG58ffUURnYPWeIZMuuidZI?usp=sharing) Demo on SIM: [![Open SIM Demo In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1rxRBrBgQgedR4DW7wITcdJVFVCqC0dcQ?usp=sharing)