Tools for computational pathology
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
Self-Supervised Vision Transformers for multiplexed imaging datasets
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.
Point Spread Function calculations for fluorescence microscopy.
A convex 3D deconvolution algorithm for low photon count fluorescence imaging
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.
Single-cell fluorescence microscopy data analysis
An open-source Python library for the analysis of fluorescence lifetime and hyperspectral images using the phasor approach.
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.
GLabViz - Interactive Analysis and Visualization Application for Scientific Data written in Python using Qt and pyqtrgaph
File format agnostic low level, high performance API to read and process time-tagged-time resolved (TTTR) data for single-molecule and image spectroscopy (Sample data: https://gitlab.peulen.xyz/skf/tttr-data)
PyFRAP: A Python based FRAP analysis tool box
Real-time, interactive exploration of 3D image stacks
Read and write PicoQuant PTU and related files.
Read Olympus image files (OIF and OIB).
DDRS4PALS - A software for the acquisition and simulation of positron lifetime spectra (PALS) using the DRS4 evaluation board.
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