Ayagoz Meirkhanova

The paper uses full-spectrum cytometry to analyze microalgae and bacteria by their autofluorescence, revealing taxonomic differences and interactions affecting pigment signatures.

This paper introduces a spectral fingerprinting method using full-spectrum cytometry to analyze synthetic algal-microbial communities, showing improved accuracy in species identification and community tracking.

The paper uses long-read sequencing to analyze microbial communities in saline lakes, finding that salinity strongly structures bacterial communities and that finer taxonomic classification reveals new insights into biogeographical patterns.