CellCognition Explorer 1.0.2
:: DESCRIPTION
CellCognition Explorer is an open-source image processing tool for the analysis of cellular phenotypes in microscopy. CellCognition Explorer enables phenotype classification by supervised machine learning. To detect rare phenotypes, outlier morphologies can be automatically found by novelty detection methods. A key feature of CellCognition Explorer is an improved classifier training procedure based on automated pre-processing of the full data set into cell gallery images, which can be automatically sorted based on phenotype similarity for efficient iterative classifier training.
::DEVELOPER
:: SCREENSHOTS
:: REQUIREMENTS
- Windows / Linux / MacOsX
:: DOWNLOAD
:: MORE INFORMATION
Citation
Sommer C, Hoefler R, Samwer M, Gerlich DW.
A deep learning and novelty detection framework for rapid phenotyping in high-content screening.
Mol Biol Cell. 2017 Nov 7;28(23):3428-3436. doi: 10.1091/mbc.E17-05-0333. Epub 2017 Sep 27. PMID: 28954863; PMCID: PMC5687041.