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OPTIMAL: An OPTimized Imaging Mass cytometry AnaLysis framework for benchmarking segmentation and data exploration.

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Title: OPTIMAL: An OPTimized Imaging Mass cytometry AnaLysis framework for benchmarking segmentation and data exploration.
Authors: Hunter B; Flow Cytometry Core Facility, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.; Biosciences Institute, Innovation, Methodology and Application (IMA) Research Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Nicorescu I; Translational and Clinical Research Institute, Immunity and Inflammation Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Foster E; Image Analysis Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., McDonald D; Flow Cytometry Core Facility, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.; Biosciences Institute, Innovation, Methodology and Application (IMA) Research Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Hulme G; Flow Cytometry Core Facility, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.; Biosciences Institute, Innovation, Methodology and Application (IMA) Research Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Fuller A; Flow Cytometry Core Facility, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.; Biosciences Institute, Innovation, Methodology and Application (IMA) Research Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Thomson A; Flow Cytometry Core Facility, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.; Translational and Clinical Research Institute, Immunity and Inflammation Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Goldsborough T; School of Informatics, University of Edinburgh, Edinburgh, UK., Hilkens CMU; Translational and Clinical Research Institute, Immunity and Inflammation Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Majo J; Cellular Pathology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK., Milross L; Transplantation and Regenerative Medicine, Newcastle University Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Fisher A; Transplantation and Regenerative Medicine, Newcastle University Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Bankhead P; Centre for Genomic and Experimental Medicine, CRUK Scotland Centre, and Edinburgh Pathology, University of Edinburgh, Edinburgh, UK., Wills J; Department of Veterinary Medicine, Cambridge University, Cambridge, UK.; Department of Biomedical Engineering, Swansea University, Swansea, Wales, UK., Rees P; Department of Biomedical Engineering, Swansea University, Swansea, Wales, UK.; Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA., Filby A; Flow Cytometry Core Facility, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.; Biosciences Institute, Innovation, Methodology and Application (IMA) Research Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK., Merces G; Biosciences Institute, Innovation, Methodology and Application (IMA) Research Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.; Image Analysis Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Source: Cytometry. Part A : the journal of the International Society for Analytical Cytology [Cytometry A] 2024 Jan; Vol. 105 (1), pp. 36-53. Date of Electronic Publication: 2023 Oct 05.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 101235694 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-4930 (Electronic) Linking ISSN: 15524922 NLM ISO Abbreviation: Cytometry A Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1002/cyto.a.24803
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