Tellu - an object-detector algorithm for automatic classification of intestinal organoids.

ABSTRACT: Intestinal epithelial organoids recapitulate many of the in vivo features of the intestinal epithelium, thus representing excellent research models. Morphology of the organoids based on light-microscopy images is used as a proxy to assess the biological state of the intestinal epithelium. Currently, organoid classification is manual and, therefore, subjective and time consuming, hampering large-scale quantitative analyses. Here, we describe Tellu, an object-detector algorithm trained to classify cultured intestinal organoids. Tellu was trained by manual annotation of >20,000 intestinal organoids to identify cystic non-budding organoids, early organoids, late organoids and spheroids. Tellu can also be used to quantify the relative organoid size, and can classify intestinal organoids into th

SUBMITTER: Domenech-Moreno E 

PROVIDER: S-EPMC10067441 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature