Tools for computational pathology
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Updated
Nov 6, 2024 - Python
Tools for computational pathology
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
Self-Supervised Vision Transformers for multiplexed imaging datasets
Precision current source, with optional optical feedback, for driving LEDs and laser diodes
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
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.
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)
GLabViz - Interactive Analysis and Visualization Application for Scientific Data written in Python using Qt and pyqtrgaph
PyFRAP: A Python based FRAP analysis tool box
Real-time, interactive exploration of 3D image stacks
RNA smFISH oligos/probes design tool
DDRS4PALS - A software for the acquisition and simulation of positron lifetime spectra (PALS) using the DRS4 evaluation board.
Read Olympus image files (OIF and OIB)
Pair correlation function analysis of fluorescence fluctuations in big image time series
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