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.
Resource Category: Female Reproduction, Technology | System: Mouse | Topic: Ovary | Series: Experimental Methods and Techniques in Reproduction