{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["CSBC/PS-ON Image Analysis Working Group"],"funding":["National Cancer Institute","NCI NIH HHS","National Institutes of Health"],"pagination":["102013"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8761177"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["95"],"pubmed_abstract":["Emerging multiplexed imaging platforms provide an unprecedented view of an increasing number of molecular markers at subcellular resolution and the dynamic evolution of tumor cellular composition. As such, they are capable of elucidating cell-to-cell interactions within the tumor microenvironment that impact clinical outcome and therapeutic response. However, the rapid development of these platforms has far outpaced the computational methods for processing and analyzing the data they generate. While being technologically disparate, all imaging assays share many computational requirements for post-collection data processing. As such, our Image Analysis Working Group (IAWG), composed of researchers in the Cancer Systems Biology Consortium (CSBC) and the Physical Sciences - Oncology Network ("],"journal":["Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society"],"pubmed_title":["A community-based approach to image analysis of cells, tissues and tumors."],"pmcid":["PMC8761177"],"funding_grant_id":["U54 CA217450","U24 CA209923","U54 CA217450-02S1","U54CA225088","U24CA209923","U54 CA225088","R50CA243783","R50 CA243783"],"pubmed_authors":["Vizcarra JC","Tyson DR","White BS","Hug CB","Goltsev Y","Sokolov A","CSBC/PS-ON Image Analysis Working Group","Burlingame EA"],"additional_accession":[]},"is_claimable":false,"name":"A community-based approach to image analysis of cells, tissues and tumors.","description":"Emerging multiplexed imaging platforms provide an unprecedented view of an increasing number of molecular markers at subcellular resolution and the dynamic evolution of tumor cellular composition. As such, they are capable of elucidating cell-to-cell interactions within the tumor microenvironment that impact clinical outcome and therapeutic response. However, the rapid development of these platforms has far outpaced the computational methods for processing and analyzing the data they generate. While being technologically disparate, all imaging assays share many computational requirements for post-collection data processing. As such, our Image Analysis Working Group (IAWG), composed of researchers in the Cancer Systems Biology Consortium (CSBC) and the Physical Sciences - Oncology Network (","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan","modification":"2025-04-26T00:31:09.727Z","creation":"2025-04-06T09:42:23.759Z"},"accession":"S-EPMC8761177","cross_references":{"pubmed":["34864359"],"doi":["10.1016/j.compmedimag.2021.102013"]}}