Cell Biology
Showing 9 of 9 projects
A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.
A deep learning library for single-cell analysis of biological images, specializing in cell segmentation and tracking.
A semi-automated pipeline for instance-aware cell segmentation, tracking, and migration analysis in phase contrast microscopy using Mask R-CNN.
Interactive exploration and analysis software for large, high-dimensional image-derived biological data with supervised machine learning.
A large transformer foundation model for single-cell RNA sequencing data analysis, including gene network inference, denoising, and cell annotation.
An automated pipeline for organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy.
A machine learning pipeline that predicts 70 cell health phenotypes from Cell Painting image-based morphology profiles.
A Python package for 3D single-cell shape analysis using geometric deep learning on point clouds and voxels.
A Python package for analyzing high-throughput single-cell imaging data, including protein abundance, endocytosis, and particle tracking.
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