Trackpy is a Python package for fast, Pythonic particle tracking in 2D and 3D image sequences. Implements the Crocker-Grier algorithm to locate bright features (particles, colloids, cells, droplets) a
Use with AI
Install the MCP server or CLI to instantly fetch Trackpy documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/trackpy
AICSImageIO — Python library for reading and writing multi-dimensional microscopy image data. Supports CZI (Zeiss), LIF (Leica), ND2 (Nikon), OME-TIFF, TIFF, and DV formats via a unified AICSImage int
1 shared topic • 2 shared operations
Bio-Formats — Java library for reading and writing microscopy image formats. Supports 160+ file formats including OME-TIFF, CZI (Zeiss), LIF (Leica), ND2 (Nikon), VSI (Olympus), and proprietary vendor
1 shared topic • 2 shared operations
bioio — plugin-based Python library for reading and writing biological microscopy and imaging files. Supports OME-TIFF, CZI (Zeiss), LIF (Leica), nd2 (Nikon), TIFF, PNG, and many more formats via form
1 shared topic • 2 shared operations
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 • 2 shared operations
Use when working with Dipy — the Python library for diffusion MRI analysis. Covers diffusion tensor imaging (DTI), constrained spherical deconvolution (CSD), diffusion kurtosis imaging (DKI), IVIM, fi
1 shared topic • 2 shared operations