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CellCognition
CellCognition is a free open-source computational framework for quantitative analysis of high-throughput fluorescence microscopy (time-lapse) images in the field of bioimage informatics and systems microscopy. The CellCognition framework uses image processing, computer vision and machine learning 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 phenotype map.
==Features==
CellCognition uses a computational pipeline which includes image segmentation, object detection, feature extraction, statistical classification, tracking of individual cells over time, detection of class-transition motifs (e.g. cells entering mitosis), and HMM correction of classification errors on class labels.
The software is a cross-platform application and runs on the three major operating systems (Microsoft Windows, Mac OS X, and Linux). It combines VIGRA based C++ computer vision library with Python based workflow engine and graphical user interface.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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