Barcodes, co-cultures, and deep learning take genetically encoded biosensor multiplexing to the nth degree

Takuya Terai; Robert E Campbell

doi:10.1016/j.molcel.2021.12.017

Barcodes, co-cultures, and deep learning take genetically encoded biosensor multiplexing to the nth degree

Mol Cell. 2022 Jan 20;82(2):239-240. doi: 10.1016/j.molcel.2021.12.017.

Authors

Takuya Terai¹, Robert E Campbell²

Affiliations

¹ Department of Chemistry, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
² Department of Chemistry, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; Department of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada. Electronic address: campbell@chem.s.u-tokyo.ac.jp.

PMID: 35063093
DOI: 10.1016/j.molcel.2021.12.017

Abstract

Yang et al. (2021) describe a co-culture multiplexed imaging method that can provide an order of magnitude increase in the number of barcoded biosensors that can be imaged in a single experiment.

Publication types

Comment

MeSH terms

Biosensing Techniques*
Coculture Techniques
Deep Learning*