Author

S. M. Zakian

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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Cell Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:genetic perturbation / CRISPR· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

S. P. Medvedev· 2 shared A. Sanchez· 1 shared D. N. Shtokalo· 1 shared D. V. Antonets· 1 shared E. I. Ustyantseva· 1 shared E. M. Bairamova· 1 shared N. E. Russkikh· 1 shared V. R. Kovalenko· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersCell Biology

S. P. Medvedev

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintSep 13, 2021

A cell-based platform for oxidative stress monitoring in motor neurons using genetically encoded biosensors of H2O2

E. I. Ustyantseva, S. M. Zakian, S. P. Medvedev

The paper develops a cell-based platform using genetically encoded H2O2 biosensors to monitor oxidative stress in motor neurons derived from isogenic iPSC lines with ALS-associated SOD1 mutations.

DOI 10.1101/2021.09.13.459724

humanproteomics

Cell BiologySensorsPeer-reviewedJun 29, 2020

CellCountCV - a web-application for accurate cell counting and automated batch processing of microscopy images using fully-convolutional neural networks

D. V. Antonets, N. E. Russkikh, A. Sanchez…·S. M. Zakian

CellCountCV is a web-application using fully-convolutional neural networks for accurate cell counting and batch processing of microscopy images, achieving <4% error compared to expert estimates.

DOI 10.3390/s20133653

imagingdeep learning