I. A. Vorobjev

Spectral algal fingerprinting and long sequencing in synthetic algal-microbial communities

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.

Species-level classification provides new insights into the biogeographical patterns of microbial communities in shallow saline lakes

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.

Probing complexity of microalgae mixtures with novel spectral flow cytometry approach and \"virtual filtering\"

The paper develops a spectral flow cytometry approach with virtual filtering to differentiate microalgae taxa by analyzing spectral emission regions and light scattering parameters.