Tools for computational pathology
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Updated
May 20, 2024 - Python
Tools for computational pathology
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
Precision current source, with optional optical feedback, for driving LEDs and laser diodes
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
Self-Supervised Vision Transformers for multiplexed imaging datasets
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
A convex 3D deconvolution algorithm for low photon count fluorescence imaging
Point Spread Function calculations for fluorescence microscopy
Single-cell fluorescence microscopy data analysis
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.
File format agnostic low level, high performance API to read and process time-tagged-time resolved (TTTR) data for single-molecule and image spectroscopy
PyFRAP: A Python based FRAP analysis tool box
GLabViz - Interactive Analysis and Visualization Application for Scientific Data written in Python using Qt and pyqtrgaph
An open-source Python library for the analysis of fluorescence lifetime and hyperspectral images using the phasor approach
Real-time, interactive exploration of 3D image stacks
DDRS4PALS - A software for the acquisition and simulation of positron lifetime spectra (PALS) using the DRS4 evaluation board.
Pair correlation function analysis of fluorescence fluctuations in big image time series
RNA smFISH oligos/probes design tool
Read Olympus image files (OIF and OIB)
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