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Machine-learned Phase-Contrast using a 3D printed microscope based on DPC

Derived from code snippets used in the paper paper by Lei Tian, Jingyan Wang, and Laura Waller

The app takes a series of images, where the "Presentation API" from Android displays a specific pattern on a projector. The images are getting processed to feed a neural network trained in Tensorflow to produce an optimized illumination shape to enhance the phase contrast of an arbitrary object.

The version here is distributed under the GPL v3 license. If you have any questions, please get back to us by contacting us: https://nanoimaging.de

INSTRUCTIONS

A set of instructions can be found here: PDF Tutorial:

If you need any further details, please contact us via our website.

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