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Diagnostic Potential of Imaging Flow Cytometry.
Doan, Minh; Vorobjev, Ivan; Rees, Paul; Filby, Andrew; Wolkenhauer, Olaf; Goldfeld, Anne E; Lieberman, Judy; Barteneva, Natasha; Carpenter, Anne E; Hennig, Holger.
Afiliación
  • Doan M; Imaging Platform at the Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA.
  • Vorobjev I; School of Science and Technology, Nazarbayev University, Kababnbay batyr avenue 53, 010000, Astana, Kazakhstan; A.N. Belozersky Institute of Physico-Chemical Biology/Biological Faculty, M.V. Lomonosov Moscow State University, 119991, Moscow, Russian Federation.
  • Rees P; Imaging Platform at the Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA; College of Engineering, Swansea University, Singleton Park, Swansea SA2 8PP, UK.
  • Filby A; Flow Cytometry Core Facility, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
  • Wolkenhauer O; Department of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany; Stellenbosch Institute for Advanced Study (STIAS), Stellenbosch, 7600, South Africa.
  • Goldfeld AE; Program in Cellular and Molecular Medicine, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
  • Lieberman J; Program in Cellular and Molecular Medicine, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
  • Barteneva N; Program in Cellular and Molecular Medicine, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
  • Carpenter AE; Imaging Platform at the Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA.
  • Hennig H; Imaging Platform at the Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA; Department of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany. Electronic address: holgerh@broadinstitute.org.
Trends Biotechnol ; 36(7): 649-652, 2018 07.
Article en En | MEDLINE | ID: mdl-29395345
ABSTRACT
Imaging flow cytometry (IFC) captures multichannel images of hundreds of thousands of single cells within minutes. IFC is seeing a paradigm shift from low- to high-information-content analysis, driven partly by deep learning algorithms. We predict a wealth of applications with potential translation into clinical practice.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Medicina de Precisión / Análisis de la Célula Individual / Citometría de Flujo / Imagen Individual de Molécula / Microscopía Fluorescente Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Trends Biotechnol Año: 2018 Tipo del documento: Article
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Medicina de Precisión / Análisis de la Célula Individual / Citometría de Flujo / Imagen Individual de Molécula / Microscopía Fluorescente Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Trends Biotechnol Año: 2018 Tipo del documento: Article