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

Lillian Folts Anthony S Martinez Corey Bunce Blanche Capel Jennifer McKey

Published in: bioRxiv : the preprint server for biology (2024)

This protocol introduces OoCount, a high-throughput, open-source method for automatic oocyte segmentation and classification from fluorescent 3D microscopy images of whole mouse ovaries using a machine learning-based approach.

Keyphrases

machine learning
deep learning
high throughput
artificial intelligence
convolutional neural network
big data
high resolution
optical coherence tomography
quantum dots
single cell
single molecule
high speed
living cells
mass spectrometry