Author

A. Kayumov

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

A. Sokolova· 1 shared D. Baydamshina· 1 shared E. Trizna· 1 shared I. Sharafutdinov· 1 shared M. Bogachev· 1 shared M. I. Bogachev· 1 shared O. Markelov· 1 shared P. Zelenikhin· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPhysiology

A. Sokolova

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Improved online event detection and differentiation by a simple gradient-based nonlinear transformation: Implications for the biomedical signal and image analysis

A. Sokolova, Y. Uljanitski, A. Kayumov, M. I. Bogachev

The paper introduces a gradient-based nonlinear transformation for improved online event detection in biomedical signals and images, showing better accuracy than conventional methods in ECG and gel image analysis.

bioRxiv · Aug 16, 2020Physiology

Fast and Simple Tool for the Quantification of Biofilm-Embedded Cells Sub-Populations From Fluorescent Microscopic Images

M. Bogachev, V. Volkov, O. Markelov, E. Trizna, D. Baydamshina, V. Melnikov, P. Zelenikhin, R. Murtazina, I. Sharafutdinov, A. Kayumov

The paper introduces a simple algorithm and software tool for quantifying biofilm-embedded cell sub-populations from fluorescent microscopic images, validated against manual counting and flow cytometry.

bioRxiv · Apr 22, 2018Microbiology