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An image based high-throughput assay for chemical screening using zebrafish.
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.
Broad Institute of Harvard and MIT.
Broad Institute of Harvard and MIT.
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.
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2012 (English)Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2012.
Keyword [en]
Curvature extraction, high-throughput screening, quantitative microscopy, zebrafish (Danio rerio)
National Category
Signal Processing Computer Science Bioinformatics (Computational Biology)
Research subject
Bioinformatics; Computer Science with specialization in Human-Computer Interaction; Computerized Image Analysis; Computerized Image Processing; Computer Science
Identifiers
URN: urn:nbn:se:uu:diva-188442OAI: oai:DiVA.org:uu-188442DiVA: diva2:577889
Conference
BioImage Informatics 2012
Funder
Science for Life Laboratory - a national resource center for high-throughput molecular bioscience
Available from: 2012-12-17 Created: 2012-12-17 Last updated: 2013-10-30Bibliographically approved

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Ishaq, OmerWählby, Carolina

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Ishaq, OmerWählby, Carolina
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Division of Visual Information and InteractionComputerized Image Analysis and Human-Computer InteractionScience for Life Laboratory, SciLifeLab
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CiteExportLink to record
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