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ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.
Siegerist, Florian; Hay, Eleonora; Dikou, Juan Saydou; Pollheimer, Marion; Büscher, Anja; Oh, Jun; Ribback, Silvia; Zimmermann, Uwe; Bräsen, Jan Hinrich; Lenoir, Olivia; Drenic, Vedran; Eller, Kathrin; Tharaux, Pierre-Louis; Endlich, Nicole.
Affiliation
  • Siegerist F; Institute for Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.
  • Hay E; Institute for Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.
  • Dikou JS; Section of Human Anatomy, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
  • Pollheimer M; Institute for Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.
  • Büscher A; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Oh J; Department of Pediatrics II, University Hospital Essen, Essen, Germany.
  • Ribback S; Department of Pediatrics, University Hamburg-Eppendorf, Hamburg, Germany.
  • Zimmermann U; Department of Pathology, University Medicine Greifswald, Greifswald, Germany.
  • Bräsen JH; Department of Urology, University Medicine Greifswald, Greifswald, Germany.
  • Lenoir O; Nephropathology, Institute of Pathology, Medical School Hannover, Hannover, Germany.
  • Drenic V; PARCC, Paris Cardiovascular Research Centre, Inserm, Université Paris Cité, Paris, France.
  • Eller K; NIPOKA GmbH, Greifswald, Germany.
  • Tharaux PL; Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
  • Endlich N; PARCC, Paris Cardiovascular Research Centre, Inserm, Université Paris Cité, Paris, France.
J Cell Mol Med ; 26(12): 3513-3526, 2022 06.
Article in En | MEDLINE | ID: mdl-35593050
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Cell Mol Med Journal subject: BIOLOGIA MOLECULAR Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Cell Mol Med Journal subject: BIOLOGIA MOLECULAR Year: 2022 Document type: Article Affiliation country: Country of publication: