ScoMorphoFISH: A deep learning enabled toolbox for single‐cell single‐mRNA quantification and correlative (ultra‐)morphometry-Reference-Cited by-同舟云学术

ScoMorphoFISH: A deep learning enabled toolbox for single‐cell single‐mRNA quantification and correlative (ultra‐)morphometry

Published:2022-05-20 Issue:12 Volume:26 Page:3513-3526
ISSN:1582-1838
Container-title:Journal of Cellular and Molecular Medicine
language:en
Short-container-title:J Cellular Molecular Medi

Author:

Siegerist Florian¹^ORCID,Hay Eleonora¹²,Dikou Juan Saydou¹,Pollheimer Marion³,Büscher Anja⁴,Oh Jun⁵,Ribback Silvia⁶,Zimmermann Uwe⁷,Bräsen Jan Hinrich⁸,Lenoir Olivia⁹,Drenic Vedran¹⁰,Eller Kathrin¹¹,Tharaux Pierre‐Louis⁹^ORCID,Endlich Nicole¹

Affiliation:

1. Institute for Anatomy and Cell Biology University Medicine Greifswald Greifswald Germany

2. Section of Human Anatomy Department of Mental and Physical Health and Preventive Medicine University of Campania “Luigi Vanvitelli” Naples Italy

3. Institute of Pathology Medical University of Graz Graz Austria

4. Department of Pediatrics II University Hospital Essen Essen Germany

5. Department of Pediatrics University Hamburg‐Eppendorf Hamburg Germany

6. Department of Pathology University Medicine Greifswald Greifswald Germany

7. Department of Urology University Medicine Greifswald Greifswald Germany

8. Nephropathology Institute of Pathology Medical School Hannover Hannover Germany

9. PARCC Paris Cardiovascular Research Centre Inserm Université Paris Cité Paris France

10. NIPOKA GmbH Greifswald Germany

11. Division of Nephrology Department of Internal Medicine Medical University of Graz Graz Austria

Funder

Federal Ministry of Education and Research

Publisher

Wiley

Subject

Cell Biology,Molecular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcmm.17392

Reference28 articles.

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4. Comparative Analysis of Podocyte Foot Process Morphology in Three Species by 3D Super-Resolution Microscopy

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