cellxpress pro 1.4.2 – Cellular Phenotype Profiling Software Platform

cellxpress pro 1.4.2

:: DESCRIPTION

cellXpress is a cellular phenotype profiling software platform. The platform is designed for fast and high-throughput analysis of cellular phenotypes based on microscopy images. It is especially useful for large-scale profiling of cellular responses to pharmacological compounds, gene knockdowns, and/or toxic substances.

::DEVELOPER

the Loo Lab at the Bioinformatics Institute (BII), Singapore.

:: SCREENSHOTS

:: REQUIREMENTS

Windows/ Linux

:: DOWNLOAD

cellxpress

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2013;14 Suppl 16:S4. doi: 10.1186/1471-2105-14-S16-S4. Epub 2013 Oct 22.
cellXpress: a fast and user-friendly software platform for profiling cellular phenotypes.
Laksameethanasan D, Tan R, Toh G, Loo LH.

CellCognition Explorer 1.0.2 – Analysis of Cellular Phenotypes Images in Microscopy

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

CellCognition Explorer team

:: SCREENSHOTS

:: REQUIREMENTS

Windows / Linux / MacOsX

:: DOWNLOAD

CellCognition Explorer

:: 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.

imCellPhen Alpha – Interactive Mining of Cellular Phenotypes

imCellPhen Alpha

:: DESCRIPTION

imCellPhen (Interactive mining of cellular phenotypes) is an innovative computing paradigm that uses intelligent human-computer interfaces to facilitate the application of the HCS technology in biomedical research. It’s a a new computing paradigm that combines unsupervised pattern mining techniques, P-VDE interfaces, and CBIR-RF techniques to boost the exploitation capacity of the HCS technology and facilitate its application to biomedical research.

::DEVELOPER

Pengyu Hong

:: SCREENSHOTS

:: REQUIREMENTS

Windows
Java

:: DOWNLOAD

imCellPhen

:: MORE INFORMATION

Citation

Hong, P. (2006).
Interactive Analysis of High-Content Cellular Images via Relevant Feedback.
2006 Workshop on Multiscale Biological Imaging, Data Mining and Informatics, Santa Barbara, CA, USA.