vanvalenlab/deepcell-tf
Deep Learning Library for Single Cell Analysis
This tool helps biologists, researchers, and lab technicians automatically identify and track individual cells in microscope images. You feed it 2D or 3D biological image data, and it outputs precise outlines of whole cells or nuclei, along with their movement paths over time. It's designed for anyone needing to quantify cell behaviors and structures from imaging experiments.
474 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately segment cells or nuclei and track their movement in live-cell imaging or tissue samples, without manually outlining each cell.
Not ideal if you are looking for general image analysis tools not specific to biological single-cell analysis or if your primary need is manual image annotation rather than automated processing.
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474
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107
Language
Python
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Last pushed
Aug 30, 2024
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