image-analysis-workflows 开源项目推荐（21 个）

Cardiac-MR-Group-Lund /segment-open

Segment Source Distribution

MontpellierRessourcesImagerie /imagej_macros_and_scripts

ImageJ macros and scripts written at the imaging facility MRI

ciccalab /SIMPLI

SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.

tlnagy /OMETIFF.jl

I/O operations for OME-TIFF files in Julia

crud89 /Texturize

A unified framework for example-based texture synthesis, developed alongside my master's thesis.

waliens /sldc

An open-source Python framework created for accelerating development of large image analysis workflows

hansenjn /MotiQ

A set of ImageJ plugins to quantify dynamics, morphology, and fluorescence of microglial cells.

PathologyDataScience /MatDigitalPathology

Matlab functions to support analysis of digital pathology images.

wulinteousa2-hash /napari-chat-assistant

A local agent architecture for semantic-aware interaction between large language models and multidimensional microscopy datasets inside napari

Quantitative-Big-Imaging /Quantitative-Big-Imaging-2017

The material for the Quantitative Big Imaging Course at ETHZ for Spring Semester 2017

Lie-White /LuXcale-WB

Western blot band quantification from raw chemiluminescence TIFFs — lane boxes, background-subtracted band intensities, loading-control normalisation, and publication figures. Windows app.

ggirelli /pygpseq

Python3 package to analyse GPSeq images and manage TIFF files.

BioDepot /SpatialProteomics

A modular and interactive spatial proteomic image analysis workflow with individual containerized steps, consisting of cell segmentation, unsupervised clustering with optional batch correction, validation of clusters on the image, and cell type clustering results visualization

ChenXiang96 /SlicerColoc-Z-Stats

A 3D Slicer extension for interactive 3D visualization and quantitative colocalization analysis of multi-channel confocal z-stack images.

AriChow /image_analysis_toolbox

Toolbox for image analysis pipeline (image pre-processing, feature extraction, feature preprocessing, dimensionality reduction, classification, clustering and regression). Powered by sklearn and other python libraries.

surajinacademia /cellpose_mcp

MCP tools for Cellpose and napari integration

ogemarques /python-matlab

Example of how to integrate MATLAB apps into a Python deep learning workflow for computer vision and image analysis tasks.

jonasoh /AuTToFlux

Pipeline for high-throughput analysis of RFP/GFP ratios in vacuoles

nesarashree /analyze-RNA-puncta

An open-source image analysis pipeline for single-cell mRNA puncta quantification and colocalization.

rjrahul24 /cnn-logistic-image-analysis

We build upon Logistic Regression concepts and create a Deep Learning Convolution Neural Network. This repository explains how Logistic Regression is really the root of building Multilayer Perceptron models for Machine Learning and Deep Learning.