Statistical image processing quantifies the changes in cytoplasmic texture associated with aging in Caenorhabditis elegans oocytes.

Momoko ImakuboJun TakayamaHatsumi OkadaShuichi Onami

Published in: BMC bioinformatics (2021)

The Max-min value and COR objectively quantify age-related changes in C. elegans oocyte in Nomarski DIC microscopy images. Our methods provide new opportunities for understanding the mechanism underlying oocyte aging.

Keyphrases

deep learning
optical coherence tomography
physical activity
single molecule
high resolution
convolutional neural network
high throughput
high speed
contrast enhanced
machine learning
computed tomography
magnetic resonance