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Assessing the performance of the Cell Painting assay across different imaging systems

dc.contributor.authorTromans-Coia, C
dc.contributor.authorJamali, N
dc.contributor.authorAbbasi, HS
dc.contributor.authorGiuliano, KA
dc.contributor.authorHagimoto, M
dc.contributor.authorJan, K
dc.contributor.authorKaneko, E
dc.contributor.authorLetzsch, S
dc.contributor.authorSchreiner, A
dc.contributor.authorSexton, JZ
dc.contributor.authorSuzuki, M
dc.contributor.authorTrask, OJ
dc.contributor.authorYamaguchi, M
dc.contributor.authorYanagawa, F
dc.contributor.authorYang, M
dc.contributor.authorCarpenter, AE
dc.contributor.authorCimini, BA
dc.coverage.spatialUnited States
dc.date.accessioned2024-10-28T18:01:24Z
dc.date.available2024-10-28T18:01:24Z
dc.date.issued2023-11-01
dc.identifier.issn1552-4922
dc.identifier.issn1552-4930
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/pubmed/37789738
dc.identifier.urihttps://hdl.handle.net/2027.42/195367en
dc.description.abstractQuantitative microscopy is a powerful method for performing phenotypic screens from which image-based profiling can extract a wealth of information, termed profiles. These profiles can be used to elucidate the changes in cellular phenotypes across cell populations from different patient samples or following genetic or chemical perturbations. One such image-based profiling method is the Cell Painting assay, which provides morphological insight through the imaging of eight cellular compartments. Here, we examine the performance of the Cell Painting assay across multiple high-throughput microscope systems and find that all are compatible with this assay. Furthermore, we determine independently for each microscope system the best performing settings, providing those who wish to adopt this assay an ideal starting point for their own assays. We also explore the impact of microscopy setting changes in the Cell Painting assay and find that few dramatically reduce the quality of a Cell Painting profile, regardless of the microscope used.
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherWiley
dc.subjectCell Painting
dc.subjectimage-based profiling
dc.subjectphenotypic screening
dc.subjectquantitative imaging
dc.subjectHumans
dc.subjectMicroscopy
dc.subjectBiological Assay
dc.titleAssessing the performance of the Cell Painting assay across different imaging systems
dc.typeArticle
dc.identifier.pmid37789738
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/195367/2/Assessing the performance of the Cell Painting assay across different imaging systems.pdf
dc.identifier.doi10.1002/cyto.a.24786
dc.identifier.doihttps://dx.doi.org/10.7302/24562
dc.identifier.sourceCytometry Part A
dc.description.versionPublished version
dc.date.updated2024-10-28T18:01:21Z
dc.identifier.orcid0000-0002-5518-8915
dc.identifier.orcid0000-0002-9244-5888
dc.identifier.orcid0000-0003-1555-8261
dc.identifier.orcid0000-0001-9640-9318
dc.identifier.volume103
dc.identifier.issue11
dc.identifier.startpage915
dc.identifier.endpage926
dc.identifier.name-orcidTromans-Coia, C; 0000-0002-5518-8915
dc.identifier.name-orcidJamali, N
dc.identifier.name-orcidAbbasi, HS
dc.identifier.name-orcidGiuliano, KA
dc.identifier.name-orcidHagimoto, M
dc.identifier.name-orcidJan, K
dc.identifier.name-orcidKaneko, E
dc.identifier.name-orcidLetzsch, S
dc.identifier.name-orcidSchreiner, A
dc.identifier.name-orcidSexton, JZ; 0000-0002-9244-5888
dc.identifier.name-orcidSuzuki, M
dc.identifier.name-orcidTrask, OJ
dc.identifier.name-orcidYamaguchi, M
dc.identifier.name-orcidYanagawa, F
dc.identifier.name-orcidYang, M
dc.identifier.name-orcidCarpenter, AE; 0000-0003-1555-8261
dc.identifier.name-orcidCimini, BA; 0000-0001-9640-9318
dc.working.doi10.7302/24562en
dc.owningcollnameInternal Medicine, Department of


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