DeepCell

btrack is a Bayesian multi-object cell tracking library for time-lapse microscopy data. Tracks individual cells across frames using a Bayesian belief matrix and motion model. Integrates natively with

2 shared topics • 1 shared operation

Cellpose — generalist deep learning algorithm for cellular and nuclear segmentation in microscopy images. Provides GPU-accelerated 2D and 3D instance segmentation using gradient flow representations,

2 shared topics • 1 shared operation

QuPath — open-source platform for whole slide image analysis and digital pathology. Provides interactive tools for tissue detection via thresholding, cell detection and positive cell classification (H

2 shared topics • 1 shared operation

STARmap (Spatially-resolved Transcript Amplicon Readout mapping) — in situ spatial transcriptomics method that combines hydrogel-tissue chemistry with sequencing-by-hybridization (SEDAL) for multiplex

2 shared topics • 1 shared operation

ZeroCostDL4Mic is a Google Colab-based platform providing zero-cost deep learning for fluorescence microscopy image analysis. Supports segmentation (U-Net, StarDist, Cellpose), denoising (Noise2Void,

2 shared topics • 1 shared operation