computer vision models for single-cell phenotyping
-
Updated
Jun 13, 2024 - Python
computer vision models for single-cell phenotyping
MagellanMapper is a graphical interface for 3D bioimage annotation, atlas registration, and regional quantification
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
U-Net implementation in PyTorch for segmentation of bio-images
Fast reconstruction of spatial networks from bioimages.
StarDist - Object Detection with Star-convex Shapes
A vision-language foundation model for computational pathology - Nature Medicine
A suite of tools for analyzing large scale confluent FUCCI experiments
Guides and code for 3D nuclear instance segmentation
Fiji plugin for object(s) detection using template(s) matching
Package for performing automated bio-image analysis tasks.
Track single cells and profile the cell cycle with PCNA fluorescence images
Quantifying the dynamics of long-range cell-cell mechanical communication paper code
Create a nice exploded visualization of segmented cells in a tissue.
Image data and Python scripts for the course on Bioimage analysis with Napari
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
Connect Napari with FIJI/ImageJ
Scripts to estimate distances from PICT
Add a description, image, and links to the bioimage-analysis topic page so that developers can more easily learn about it.
To associate your repository with the bioimage-analysis topic, visit your repo's landing page and select "manage topics."