A phenotyping pipeline for Python
This is the development code for the webapp barkandambrosiagallery.org. It relies on the IBBI python package for AI.
This is official github repo for Nature InReview paper "AI-enabled live-dead cell viability classification and motion forecasting"
Project to create metadata that is harmonized across the Cell Painting Gallery
A tool to accurately normalize and visualize protein distribution in 3D structures imaged with confocal microscopy using z-stacks.
Lightweight image segmentation software for biological images.
Computational screening of green colour colonies from petri dish through python tool GD.A1.
A powerful cladogram making software, made to create cladograms, phenograms, and chronograms !
This repository contains the Unet architecture built with Pytorch library. Here, the Unet architecture is used to perform the image segmentation.
ALAn: Automated Layer Analysis. An unbiased tool for the quantification of mammalian epithelial cell architecture.
Automated segmentation of pre-cancerous PanIN lesions from confocal microscopy stacks — Python pipeline using random-forest + morphological classification, validated with Dice, IoU, and Cohen's kappa.
To associate your repository with the biology-images topic, visit your repo's landing page and select "manage topics."