Fig. 4: Single-cell scale growth and metabolic phenotype analysis and sorting. | Nature Communications

Fig. 4: Single-cell scale growth and metabolic phenotype analysis and sorting.

From: AI-powered high-throughput digital colony picker platform for sorting microbial strains by multi-modal phenotypes

Fig. 4: Single-cell scale growth and metabolic phenotype analysis and sorting.The alternative text for this image may have been generated using AI.

A The combination of bright field and fluorescence field allows precise identification of strain growth (bright field plaque area) as well as target substance expression (fluorescence signal) of monoclones within different microchamber chambers in the chip. B The number of cells within the microchamber can be monitored over time using a DCP-based system, which allows the formation of a growth curve at the single-cell level. C The process of gradual proliferation of individual E. coli to form microscopic monoclones was monitored. The absence of contamination observed in the microchamber lacking cells demonstrates the independence of this microchamber. Scale bar: 60 μm. D The accuracy and stability of the sorting procedure were evaluated by sorting fluorescent E. coli from mixtures with varying ratios (E. coli expressing green fluorescent protein and E. coli not expressing green fluorescent protein, ratios of 1:10, 100, 1000). Following one round of screening, the target cells were successfully obtained, demonstrating high stability and accuracy. n  =  3 biological replicates. Data are presented as mean +/− SD. Source data are provided as a Source Data file.

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