D. Malyshev

A hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images

The paper introduces a hybrid CNN-Random Forest algorithm for segmenting and classifying bacterial spore layers in TEM images, achieving better robustness and generalization than other classifiers.

Physico-chemical characterization of single bacteria and spores using optical tweezers

This paper uses optical tweezers to characterize single bacteria and spores, assessing physico-chemical properties related to adhesion, fluid dynamics, biochemistry, and metabolic activity.

Reactive oxygen species generated by infrared laser light in optical tweezers inhibits the germination of bacterial spores

This study shows that infrared laser light inhibits Bacillus thuringiensis spore germination, with oxygen playing a key role in this effect.

Disinfection chemicals mode of action on the bacterial spore structure and their Raman spectra

This study uses Raman spectroscopy to analyze changes in Bacillus thuringiensis spores after treatment with disinfectants, finding structural and spectral differences that correlate with spore viability.

Electrically induced bacterial membrane potential dynamics correspond to cellular proliferation capacity

This study shows that electrical stimulation of bacteria causes opposite membrane potential dynamics depending on their proliferative capacity, enabling single-cell detection of bacterial growth and antimicrobial sensitivity.