Imaging flow cytometry data analysis using convolutional neural network for quantitative investigation of phagocytosis-Reference-Cited by-同舟云学术

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Imaging flow cytometry data analysis using convolutional neural network for quantitative investigation of phagocytosis

Published:2021-11-18 Issue:2 Volume:119 Page:626-635
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotech & Bioengineering

Author:

Mochalova Elizaveta N.¹²³^ORCID,Kotov Ivan A.¹,Lifanov Dmitry A.¹,Chakraborti Soumyananda¹,Nikitin Maxim P.¹³^ORCID

Affiliation:

1. Nanobiotechnology Laboratory Moscow Institute of Physics and Technology Moscow Russia

2. Biophotonics Laboratory Prokhorov General Physics Institute of the Russian Academy of Sciences Moscow Russia

3. Nanobiomedicine Division Sirius University of Science and Technology Sochi Russia

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.27986

Reference49 articles.

1. Of macrophages and red blood cells: A complex love story;Back D. Z.;Frontiers in Physiology,2014

2. Imaging Flow Cytometry

3. Macrophage Infection via Selective Capture of HIV-1-Infected CD4+ T Cells

4. Human cytomegalovirus overcomes SAMHD1 restriction in macrophages via pUL97

5. STAT6/Arg1 promotes microglia/macrophage efferocytosis and inflammation resolution in stroke mice

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