Ivan A. Vorobjev

Deep Learning-enabled Sperm Morphology Analysis of Bovine Sperm for label-free Imaging Flow Cytometry

This study uses deep learning with label-free imaging flow cytometry to automate bovine sperm morphology classification, achieving high accuracy and highlighting the need for standardized datasets.

Analysis of microalgae autofluorescence using full-spectrum cytometry to discriminate and monitor microalgae and bacteria

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

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.

Assessing Aral Sea residual lake system: impact of fluctuating salinity on phytoplankton communities

The paper examines how salinity fluctuations in the Aral Sea's residual lakes affect phytoplankton communities using microscopy and FlowCam imaging.