Decoding gut microbiota by imaging analysis of fecal samples.
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ABSTRACT:
SUBMITTER: Furusawa C
PROVIDER: S-EPMC8652011 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
Publications
Decoding gut microbiota by imaging analysis of fecal samples.
Furusawa Chikara C Tanabe Kumi K Ishii Chiharu C Kagata Noriko N Tomita Masaru M Fukuda Shinji S
iScience 20211122 12
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 an ...[more]
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