Published May 13, 2022 | Version 0
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Segmentation of membrane of mouse, sea urchin and human oocytes from transmitted light images

Description

This dataset has been presented in our paper "An interpretable and versatile machine learning approach for oocyte phenotyping", in bioRxiv.

It contains images acquired in transmitted light with different settings of mouse and human oocytes and sea urchin eggs, with the corresponding ground-truth of the membrane segmentation. Mouse oocyte images were taken before and during oocyte maturation (meiosis I). Some human oocyte images were taken during oocyte maturation (meiosis I), and some are M-II oocytes just after fertilization. Sea urchin images contains both fertilized and unfertilized eggs.

 

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Additional details

Related works

Is supplement to
Preprint: 10.1101/2022.02.01.478709 (DOI)
Journal article: 10.1242/jcs.260281 (DOI)