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May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
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Label-free characterization of white blood cells using fluorescence lifetime imaging and flow-cytometry: molecular heterogeneity and erythrophagocytosis

Biomedical Optics Express. 2019. Vol. 10. No. 8. P. 4220–4236.
Будылин Г. С., Ширшин Е. А., Якимов Б. П., Гоголева М., Семенов А., Родионов С., Новоселова М., Гайер А., Ковалев А., Бернакевич А., Фадеев В. В., Армаганов А., Драчев В., Горин Д., Дарвин М., Щеславский В., Приезжев А. В.

Blood cell analysis is one of the standard clinical tests. Despite the widespread use of exogenous markers for blood cell quantification, label-free optical methods are still of high demand due to their possibility for in vivo application and signal specific to the biochemical state of the cell provided by native fluorophores. Here we report the results of blood cell characterization using label-free fluorescence imaging techniques and flow-cytometry. Autofluorescence parameters of different cell types – white blood cells, red blood cells, erythrophagocytic cells – are assessed and analyzed in terms of molecular heterogeneity and possibilities of differentiation between different cell types in vitro and in vivo.

Language: English
DOI
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Keywords: Bloodfluorescent lifetime imagingflow-cytometry
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