QuPath - Open-source bioimage analysis for research
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Updated
Sep 16, 2026 - Java
QuPath - Open-source bioimage analysis for research
StarDist - Object Detection with Star-convex Shapes
Segment Anything for Microscopy
Vision-Language Pathology Foundation Model - Nature Medicine
GPU-accelerated bio-image analysis focusing on 3D+t microscopy image data
A curated list of software, tools, pipelines, plugins etc. for image analysis related to biological questions.
AI-based pathology predicts origins for cancers of unknown primary - Nature
Omnipose: a high-precision solution for morphology-independent cell segmentation
This is the repository for a Python bioimage analysis course which establishes the fundamentals of image analysis in the context of biological imaging.
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Solid Tumor Associative Modeling in Pathology
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
computer vision models for single-cell phenotyping
Mastodon – a large-scale tracking and track-editing framework for large, multi-view images.
Official implementation of "Self-contrastive learning enables interference-resilient and generalizable fluorescence microscopy signal detection without interference modeling."
A deep-learning pipeline for segmentation of ambiguous microscopic images.
C++ library and command-line software for processing and analysis of terabyte-scale volume images locally or on a computing cluster.
ImageJ macros and scripts written at the imaging facility MRI
Python libraries for loading, running and packaging bioimage.io models
Fiji plugin for object(s) detection using template(s) matching
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