Overview of the Multispecies Ovary Tissue Histology Electronic Repository

Karen H. Watanabe, Suzanne W. Dietrich, Yian Ding, Wenli Ma, James P. Sluka, Mary B. Zelinski

Research output: Contribution to journalArticlepeer-review

Abstract

The Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) is a publicly accessible repository of ovary histology images. MOTHER includes hundreds of images from nonhuman primates, as well as ovary histology images from an expanding range of other species. Along with an image, MOTHER provides metadata about the image, and for selected species, follicle identification annotations. Ongoing work includes assisting scientists with contributing their histology images, creation of manual and automated (via machine learning) processing pipelines to identify and count ovarian follicles in different stages of development, and the incorporation of that data into the MOTHER database (MOTHER-DB). MOTHER will be a critical data repository storing and disseminating high-value histology images that are essential for research into ovarian function, fertility, and intra-species variability.

Original languageEnglish (US)
Pages (from-to)512-515
Number of pages4
JournalBiology of Reproduction
Volume111
Issue number3
DOIs
StatePublished - Sep 1 2024
Externally publishedYes

Keywords

  • database
  • follicle identification
  • machine learning
  • microscopy
  • oocyte
  • ovary histology
  • ovary morphology

ASJC Scopus subject areas

  • Reproductive Medicine

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