Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Sep 14;111(3):512-515.
doi: 10.1093/biolre/ioae101.

Overview of the Multispecies Ovary Tissue Histology Electronic Repository†

Karen H Watanabe  1 , Suzanne W Dietrich  1 , Yian Ding  1 , Wenli Ma  1 , James P Sluka  2 , Mary B Zelinski  3
Affiliations

Overview of the Multispecies Ovary Tissue Histology Electronic Repository†

Karen H Watanabe et al. Biol Reprod. .

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.

Keywords: database; follicle identification; machine learning; microscopy; oocyte; ovary histology; ovary morphology.

PubMed Disclaimer

Figures

Graphical Abstract
Graphical Abstract
Figure 1
Figure 1
Overview of the MOTHER data flow.
See this image and copyright information in PMC

References

    1. Dietrich SW, Sluka J, Zelinski MB, Watanabe KH. Multispecies Ovary Tissue Histology Electronic Repository. Phoenix, AZ, Arizona State University; 2024. https://mother-db.org/: Accessed 7 June 2024. - PMC - PubMed
    1. Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten JW, da Silva SantosLB, Bourne PE, Bouwman J, Brookes AJ, et al. Comment: the FAIR guiding principles for scientific data management and stewardship. Sci Data 2016; 3:160018. - PMC - PubMed
    1. Ding Y, Shah G, Ma W, Chu T-Y, Zelinski MB, Watanabe KH. Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) Slide Scanning Protocol. Geneva, Switzerland, Zenodo; 2024. https://doi.org/ 10.5281/zenodo.10636869 Accessed 15 January 2023. - DOI
    1. Jones MB, O’Brien M, Mecum B, Boettiger C, Schildhauer M, Maier M, Whiteaker T, Earl S, Chong S. Ecological Metadata Language version 2.2.0. KNB Data Repository. 2019. https://eml.ecoinformatics.org: Accessed 13 August 2020.
    1. Wittner R, Holub P, Mascia C, Frexia F, Müller H, Plass M, Allocca C, Betsou F, Burdett T, Cancio I, Chapman A, Chapman M, et al. Toward a common standard for data and specimen provenance in life sciences. Learn Health Syst 2024; 8:e10365. - PMC - PubMed