Detection of spermatogonial stem/progenitor cells in prepubertal mouse testis with deep learning.

Journal: Journal of assisted reproduction and genetics
PMID: 36995558

Abstract

PURPOSE: Rapid and easy detection of spermatogonial stem/progenitor cells (SSPCs) is crucial for clinicians dealing with male infertility caused by prepubertal testicular damage. Deep learning (DL) methods may offer visual tools for tracking SSPCs on testicular strips of prepubertal animal models. The purpose of this study is to detect and count the seminiferous tubules and SSPCs in newborn mouse testis sections using a DL method.

Authors

  • Burak Kahveci
    Department of Bioengineering, Graduate School of Science and Engineering, Hacettepe University, Ankara, Turkey.
  • Selin Önen
    Department of Stem Cell Sciences, Graduate School of Health Sciences, Hacettepe University, Ankara, Turkey.
  • Fuat Akal
    Computer Engineering Department, Hacettepe University, Ankara, Turkey.
  • Petek Korkusuz
    Department of Histology and Embryology, Faculty of Medicine, Hacettepe University, Sihhiye, 06100, Ankara, Turkey. petek@hacettepe.edu.tr.

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