segmentation

Integrative and Reference-Informed tissue Segmentation, or IRIS, is a novel machine learning and artificial intelligence method that gives biomedical researchers the ability to view more precise information about tissue development, disease pathology and tumor organization.

Hayes explained that this type of segmentation could be used to develop tailored products that account for the specific "sour liker" taste profile.

AI models learn how to carry out such tasks by using a set of data that are annotated by humans, but the process of distinguishing cells from their background, called "single-cell segmentation," is both time-consuming and laborious.

"The images that come out of our model are ready to be used to train segmentation models," Shariati said.

It could take researchers several days to manually perform cell segmentation on just 100 microscopy images.