Overview of the Multispecies Ovary Tissue Histology Electronic Repository†.

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

ACS Applied Electronic Materials Pub Date : 2024-09-14 DOI:10.1093/biolre/ioae101

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

引用次数: 0

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.

查看原文本刊更多论文

多物种卵巢组织组学电子储存库（MOTHER）概述。

多物种卵巢组织学电子资源库（MOTHER）是一个可公开访问的卵巢组织学图像资源库。MOTHER 包括数百张来自非人灵长类动物的图像，以及来自不断扩大的其他物种的卵巢组织学图像。在提供图像的同时，MOTHER 还提供有关图像的元数据，并为部分物种提供卵泡识别注释。正在进行的工作包括协助科学家提供组织学图像、创建人工和自动（通过机器学习）处理管道来识别和计算处于不同发育阶段的卵泡，以及将这些数据纳入 MOTHER 数据库（MOTHER-DB）。MOTHER 将成为存储和传播高价值组织学图像的重要数据存储库，这些图像对于研究卵巢功能、生育能力和种内变异性至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567