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PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patterns.

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Title: PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patterns.
Authors: Sankaranarayanan A; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA., Zhao C; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA., Hernandez MG; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA., Clemens EA; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA., Smythe KS; Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA., Kazerouni AS; Department of Radiology, University of Washington, Seattle, WA 98195, USA., Carr LL; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA., Li CI; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington., Partridge SC; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA., Vinayak S; Division of Hematology/Oncology, University of Washington, Seattle, WA 98195, USA.; Division of Medical Oncology, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA., Mittal S; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.; Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 Jun 16. Date of Electronic Publication: 2026 Jun 16.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patterns.
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  Data: <searchLink fieldCode="AU" term="%22Sankaranarayanan+A%22">Sankaranarayanan A</searchLink>; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Zhao+C%22">Zhao C</searchLink>; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Hernandez+MG%22">Hernandez MG</searchLink>; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Clemens+EA%22">Clemens EA</searchLink>; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Smythe+KS%22">Smythe KS</searchLink>; Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.<br /><searchLink fieldCode="AU" term="%22Kazerouni+AS%22">Kazerouni AS</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Carr+LL%22">Carr LL</searchLink>; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Li+CI%22">Li CI</searchLink>; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.<br /><searchLink fieldCode="AU" term="%22Partridge+SC%22">Partridge SC</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Vinayak+S%22">Vinayak S</searchLink>; Division of Hematology/Oncology, University of Washington, Seattle, WA 98195, USA.; Division of Medical Oncology, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.<br /><searchLink fieldCode="AU" term="%22Mittal+S%22">Mittal S</searchLink>; Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.; Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA.
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  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2026 Jun 16. <i>Date of Electronic Publication: </i>2026 Jun 16.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2026 Jun 16
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