Bacterial drug resistance displays notable individual variations. By incorporating the VITA platform to bacterial drug resistance studies, researchers can effectively delve into the intricate mechanisms underlying bacterial drug resistance mechanisms.

When bacteria transition between different states, transcriptional recombination often leads to the silencing or reactivation of certain genes, from which obtaining purified transient bacteria for research is unrealized.

Human co-habitant microbes have important effects on host development, immune system, and the nervous system. Pathogenic bacteria can breach the host's immune barrier and cause infections. On the other hand, host genes partially shape the microbial community.
By introducing VITA, single-cell-level detection and interaction analysis can be conducted on eukaryotic and prokaryotic cells.

When conducting metagenomic analysis of microorganisms, functional analysis and taxonomic analysis are relatively independent, and the accuracy of associating species with functions is limited. Using VITA platform, accurate microbial classification and functional annotation can be achieved, enabling the analysis of in situ expression of specific functions within microbial communities.