Data from: OoCount: A machine-learning based approach to mouse ovarian follicle counting and classification

The number and distribution of ovarian follicles in each growth stage provides a reliable readout of ovarian health and function. Leveraging techniques for three-dimensional (3D) imaging of ovaries in toto has the potential to uncover total, accurate ovarian follicle counts. However, because of the...

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Bibliographische Detailangaben

Hauptverfasser:	Folts, Lillian, Martinez, Anthony, Bunce, Corey, Capel, Blanche, McKey, Jennifer
Format:	Dataset
Sprache:	eng
Schlagworte:	bioimage analysis follicle counting FOS: Biological sciences Machine learning Microscopy mouse oocyte counting Oocytes ovary protocol
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