دورية أكاديمية
Overview of the multispecies ovary tissue histology electronic repository (MOTHER).
العنوان: | Overview of the multispecies ovary tissue histology electronic repository (MOTHER). |
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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 |
تدمد: | 1529-7268 |
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DOI: | 10.1093/biolre/ioae101 |