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Quantitative high-content/high-throughput microscopy analysis of lipid droplets in subject-specific adipogenesis models
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, 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.ORCID iD: 0000-0002-6699-4015
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2017 (English)In: Cytometry Part A, ISSN 1552-4922, E-ISSN 1552-4930, Vol. 91, no 11, 1068-1077 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2017. Vol. 91, no 11, 1068-1077 p.
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Medical Image Processing
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Computerized Image Processing
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URN: urn:nbn:se:uu:diva-333687DOI: 10.1002/cyto.a.23265OAI: oai:DiVA.org:uu-333687DiVA: diva2:1157438
Funder
Swedish Research Council, 2012-4968
Available from: 2017-10-14 Created: 2017-11-16 Last updated: 2017-11-28Bibliographically approved

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Bombrun, MaximeRanefall, PetterWählby, Carolina

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