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.

The paper tracks microbiome dynamics during algal blooms using 16S rRNA sequencing and imaging flow cytometry to identify microbial taxa and their temporal changes.