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Quantitative pixel intensity- and color-based image analysis on minimally compressed files: implications for whole-slide imaging.

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Title: Quantitative pixel intensity- and color-based image analysis on minimally compressed files: implications for whole-slide imaging.
Authors: Taatjes DJ; Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA. Douglas.taatjes@med.uvm.edu.; Microscopy Imaging Center, Larner College of Medicine, University of Vermont, Burlington, VT, USA. Douglas.taatjes@med.uvm.edu., Bouffard NA; Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA.; Microscopy Imaging Center, Larner College of Medicine, University of Vermont, Burlington, VT, USA., Barrow T; Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA.; Microscopy Imaging Center, Larner College of Medicine, University of Vermont, Burlington, VT, USA., Devitt KA; Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA., Gardner JA; Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA., Braet F; Australian Center for Microscopy and Microanalysis, The University of Sydney, Sydney, NSW, 2006, Australia.; The School of Medical Sciences (Anatomy and Histology), The University of Sydney, Sydney, NSW, 2006, Australia.
Source: Histochemistry and cell biology [Histochem Cell Biol] 2019 Jul; Vol. 152 (1), pp. 13-23. Date of Electronic Publication: 2019 Apr 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9506663 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-119X (Electronic) Linking ISSN: 09486143 NLM ISO Abbreviation: Histochem Cell Biol
Database: MEDLINE Ultimate
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ISSN:1432-119X
DOI:10.1007/s00418-019-01783-7