Decoding gut microbiota by imaging analysis of fecal samples.

ABSTRACT: The gut microbiota plays a crucial role in maintaining health. Monitoring the complex dynamics of its microbial population is, therefore, important. Here, we present a deep convolution network that can characterize the dynamic changes in the gut microbiota using low-resolution images of fecal samples. Further, we demonstrate that the microbial relative abundances, quantified via 16S rRNA amplicon sequencing, can be quantitatively predicted by the neural network. Our approach provides a simple and inexpensive method of gut microbiota analysis.

SUBMITTER: Furusawa C 

PROVIDER: S-EPMC8652011 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature