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PopulationProfiler: A Tool for Population Analysis and Visualization of Image-Based Cell Screening Data
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
Karolinska Inst, Dept Med Biochem & Biophys, Div Translat Med & Chem Biol, Stockholm, Sweden; ] Sci Life Lab, Stockholm, Sweden .
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
2016 (English)In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 11, no 3, e0151554Article in journal (Refereed) Published
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Text
Abstract [en]

Image-based screening typically produces quantitative measurements of cell appearance. Large-scale screens involving tens of thousands of images, each containing hundreds of cells described by hundreds of measurements, result in overwhelming amounts of data. Reducing per-cell measurements to the averages across the image(s) for each treatment leads to loss of potentially valuable information on population variability. We present PopulationProfiler-a new software tool that reduces per-cell measurements to population statistics. The software imports measurements from a simple text file, visualizes population distributions in a compact and comprehensive way, and can create gates for subpopulation classes based on control samples. We validate the tool by showing how PopulationProfiler can be used to analyze the effect of drugs that disturb the cell cycle, and compare the results to those obtained with flow cytometry.

Place, publisher, year, edition, pages
2016. Vol. 11, no 3, e0151554
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-282026DOI: 10.1371/journal.pone.0151554ISI: 000372580300085PubMedID: 26987120OAI: oai:DiVA.org:uu-282026DiVA: diva2:916279
Funder
Science for Life Laboratory - a national resource center for high-throughput molecular bioscienceSwedish Research Council, 2012-4968; 2014-6075
Available from: 2016-03-17 Created: 2016-04-01 Last updated: 2017-11-30Bibliographically approved

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Matuszewski, Damian J.Wählby, CarolinaSintorn, Ida-Maria

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Matuszewski, Damian J.Wählby, CarolinaSintorn, Ida-Maria
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Medical Image Processing

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