Tools for computational pathology
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Updated
Aug 14, 2026 - Python
Tools for computational pathology
PhenoPixel: A web-based bioimage analysis platform for bacterial single-cell microscopy analytics.
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
Self-Supervised Vision Transformers for multiplexed imaging datasets
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
Point Spread Function calculations for fluorescence microscopy.
Precision current source, with optional optical feedback, for driving LEDs and laser diodes
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
An open-source Python library for the analysis of luminescence lifetime and hyperspectral images using the phasor approach.
Neuroclear is a deep-learning-based Python module to train a deep neural network for the task of applying super-resolution to degraded axial resolution in fluorescence microscopy, using a single image stack.
A convex 3D deconvolution algorithm for low photon count fluorescence imaging
Resolution Enhancement Algorithm using Deblurring by Pixel Reassignment. This repository implements cutting-edge techniques for improving image resolution and clarity by reassigning pixels to correct for blur. Ideal for microscopy, photography, image processing, and computational optics researchers.
Single-cell fluorescence microscopy data analysis
File format agnostic low level, high performance API to read and process time-tagged-time resolved (TTTR) data for single-molecule and image spectroscopy)
GLabViz - Interactive Analysis and Visualization Application for Scientific Data written in Python using Qt and pyqtrgaph
Read and write PicoQuant PTU and related files (PHU, PCK, PCO, PFS, PUS, PQRES, PQDAT, PQUNI, SPQR, and BIN).
PyFRAP: A Python based FRAP analysis tool box
Read Leica image files (LIF, LOF, XLIF, XLCF, XLEF, and LIFEXT).
Read Becker & Hickl SDT files.
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