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CellCognition
open-in-new
<p>CellCognition is a free <a href="/facts/Open-source_software/HzTaB8E9">open-source</a> computational framework for quantitative analysis of high-throughput <a href="/facts/Fluorescence_microscope/eMwIdrRR">fluorescence microscopy</a> (<a href="/facts/Time-lapse_microscopy/5rdh5nJG">time-lapse</a>) images in the field of <a href="/facts/Bioimage_informatics/jv4scGuK">bioimage informatics</a> and systems microscopy. The CellCognition framework uses <a href="/facts/Image_processing/zenalNCf">image processing</a>, <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a> and <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> techniques for single-cell tracking and classification of cell morphologies. This enables measurements of temporal progression of cell phases, modeling of cellular dynamics and generation of <a href="/facts/Phenotype/vxWXKGLj">phenotype</a> map. </p>