miloR

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

1 shared topic • 1 shared operation

DeepCell — deep learning library for single-cell analysis of biological images using TensorFlow. Provides pretrained models for cell segmentation including Mesmer (multiplexed tissue imaging), nuclear

1 shared topic • 1 shared operation

spatialdata is the scverse Python framework for managing, analyzing, and visualizing multi-modal spatial omics datasets. Provides a unified SpatialData object that stores images, segmentation labels,

1 shared topic • 1 shared operation

Squidpy — spatial single-cell analysis toolkit in the scverse ecosystem for analyzing and visualizing spatial molecular data. Builds spatial neighbor graphs from tissue coordinates (Visium, Xenium, ME

1 shared topic • 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

1 shared topic • 1 shared operation