Beamerscope TENSORFLOW

This is the Algorithm for the Paper: "Using Machine-Learning to Optimize phase contrast in a Low-Cost Cellphone Microscope" implemented in TENSORFLOW.

Beamerscope_IllOptGradBased

This produces a dataset of object/optimized illumination source patterns pairs for the learning approach.
The Algorithm were tested (tf_illopt_v4_Matrixsolution_GPU_wo_memoryproblem.py) using a Nvidia GTX Titan using TF 1.3 on Anaconda

There are two routines:

Beamerscope_CNN:
This learns the implicit model from the relationship between the phase-object and its optimized illumination source which will enhance the phase contrast.
The Algorithm were tested (input_data_v1.py.py) using a Nvidia GTX Titan using TF 1.3 on Anaconda