SpheroScan: a user-friendly deep learning tool for spheroid image analysis.

Journal: GigaScience
Published Date: Oct 27, 2023

Abstract

BACKGROUND: In recent years, 3-dimensional (3D) spheroid models have become increasingly popular in scientific research as they provide a more physiologically relevant microenvironment that mimics in vivo conditions. The use of 3D spheroid assays has proven to be advantageous as it offers a better understanding of the cellular behavior, drug efficacy, and toxicity as compared to traditional 2-dimensional cell culture methods. However, the use of 3D spheroid assays is impeded by the absence of automated and user-friendly tools for spheroid image analysis, which adversely affects the reproducibility and throughput of these assays.

Authors

  • Akshay Akshay
    Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.
  • Mitali Katoch
    Institute of Neuropathology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
  • Masoud Abedi
    Department of Medical Data Science, Leipzig University Medical Centre, 04107 Leipzig, Germany.
  • Navid Shekarchizadeh
    Department of Medical Data Science, Leipzig University Medical Centre, 04107 Leipzig, Germany.
  • Mustafa Besic
    Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.
  • Fiona C Burkhard
    Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.
  • Alex Bigger-Allen
    Biological & Biomedical Sciences Program, Division of Medical Sciences, Harvard Medical School, 02115 Boston, MA, USA.
  • Rosalyn M Adam
    Urological Diseases Research Center, Boston Children's Hospital, 02115 Boston, MA, USA.
  • Katia Monastyrskaya
    Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.
  • Ali Hashemi Gheinani
    Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.

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