OoCount: A Machine-Learning Based Approach to Mouse Ovarian Follicle Counting and Classification Share

Speaker: Jennifer McKey, PhD, University of Colorado Anschutz Medical Campus

Description: The number and distribution of ovarian follicles in each growth stage provides a reliable readout of ovarian health and function. During this webinar, we will provide step-by-step instructions to apply and customize OoCount. OoCount is a high-throughput, open-source method for automatic oocyte segmentation and classification from fluorescent 3D images of whole mouse ovaries using a deep-learning convolutional neural network (CNN) based approach.

Retinoic acid synchronization of spermatogenesis

This webinar will discuss synchronization of spermatogenesis by manipulating retinoic acid availability is an advantage for molecular studies of the cycle of the seminiferous epithelium and for isolation of germ and Sertoli cells at different stages of development.

Serial sampling of epididymal sperm in mice

Mice are the most commonly used animal model for studying human disease. However, in the reproductive biology area, its use has always presented the problem of obtaining in vivo sperm samples. The technique described in this webinar allows the serial extraction of sperm samples, facilitating the use of the mouse as a research tool.

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