دورية أكاديمية

Overview of the multispecies ovary tissue histology electronic repository (MOTHER).

التفاصيل البيبلوغرافية
العنوان: Overview of the multispecies ovary tissue histology electronic repository (MOTHER).
المؤلفون: Watanabe KH; School of Mathematical and Natural Sciences, Arizona State University, Glendale, Arizona., Dietrich SB; School of Mathematical and Natural Sciences, Arizona State University, Glendale, Arizona., Ding Y; School of Mathematical and Natural Sciences, Arizona State University, Glendale, Arizona., Ma W; School of Mathematical and Natural Sciences, Arizona State University, Glendale, Arizona., Sluka JP; Biocomplexity Institute, Indiana University, Bloomington, Indiana., Zelinski MB; Oregon National Primate Research Center, Beaverton, Oregon.
المصدر: Biology of reproduction [Biol Reprod] 2024 Jun 20. Date of Electronic Publication: 2024 Jun 20.
Publication Model: Ahead of Print
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Oxford University Press Country of Publication: United States NLM ID: 0207224 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1529-7268 (Electronic) Linking ISSN: 00063363 NLM ISO Abbreviation: Biol Reprod Subsets: MEDLINE
أسماء مطبوعة: Publication: 2017- : New York : Oxford University Press
Original Publication: Champaign, Ill. : Society for the Study of Reproduction
مستخلص: 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.
(© The Author(s) 2024. Published by Oxford University Press on behalf of Society for the Study of Reproduction. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
معلومات مُعتمدة: P51 OD011092 United States OD NIH HHS
فهرسة مساهمة: Keywords: database; follicle identification; machine learning; microscopy; oocyte; ovary histology; ovary morphology
تواريخ الأحداث: Date Created: 20240620 Latest Revision: 20240717
رمز التحديث: 20240717
DOI: 10.1093/biolre/ioae101
PMID: 38900906
قاعدة البيانات: MEDLINE
الوصف
تدمد:1529-7268
DOI:10.1093/biolre/ioae101