bioimage-analysis

U-FISH: a fluorescent spot detector for imaging-based spatial-omics analysis
A universal deep-learning approach for accurate FISH spot detection across imaging-based spatial-omics datasets.
PDF DOI
ImageJ.JS — ImageJ in Your Browser
The classic ImageJ, reimagined to run entirely in the web browser — no installation, full plugin support, and AI assistance.
Launch App Code
ImageJ.JS — ImageJ in Your Browser
BioImage.IO Chatbot — Your AI Assistant for Bioimage Analysis
A community-driven, AI-powered assistant that helps researchers navigate bioimaging tools, databases and services — and autonomously runs analysis tasks from plain-language prompts. Published in Nature Methods.
PDF Try it Nature Methods Code
BioImage.IO Chatbot — Your AI Assistant for Bioimage Analysis
DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible
A framework that makes deep-learning pipelines for microscopy flexible, shareable, and reproducible across computing environments.
PDF DOI
Introducing Jeremy Metz: A Multifaceted Research Engineer Joins AICell Lab
We are delighted to welcome Jeremy, a Research Engineer with diverse expertise in computer vision, computational biology, and modelling. His arrival marks an exciting chapter in AICell Lab’s journey towards advancing data-driven life sciences.
Sep 21, 2023 4 min read news
Introducing Jeremy Metz: A Multifaceted Research Engineer Joins AICell Lab