Phase contrast microscopy

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.

Holovibes is a free software dedicated to the calculation of holograms in real-time. Input interferogram data can be grabbed from a digital camera or loaded from files recorded beforehand. Massive amounts of data can be handled robustly at high throughput, saved to disk, and visualized in real-time without any risk of frame dropping thanks to the use of several configurable input and output memory buffers.

Main features

Image acquisition from several digital cameras or from data files
Choice of hologram rendering method
Blazing-fast hologram rendering
Real-time computation of spectrograms
Hologram autofocus
Image and video post-processing
High throughput saving to disc of massive datasets
Batch recording and communication with remote instruments via GPIB

Requirements

A PC with at least 8 GB of RAM
Microsoft Windows 7/10 64-bit operating system
A NVidia graphics card (GeForce GTX 700+ series)
NVidia CUDA 9
A supported digital camera, or raw interferogram files

Use case examples

Holographic microscopy
Holographic OCT
Holographic vibrometry
Holographic angiography
Holographic plethysmography

The phase contrast microscopy segmentation toolbox (PHANTAST) is a collection of open-source algorithms and tools for the processing of phase contrast microscopy (PCM) images. It was developed at University College London's department of Biochemical Engineering and CoMPLEX.

iTrack4U is a Java-based software using ImageJ and jMathPlot libraries, which aims at automatically tracking cells recorded in phase-contrast microscopy. It includes all tools from image files preprocessing, tracking to data extraction and visualization. 

Please cite Cordeliéres et. al. (2013) when using this software package!