Convolutional Neural Network Application to Automate the Process of Aliquoting Biosamples-Reference-Cited by-同舟云学术

Convolutional Neural Network Application to Automate the Process of Aliquoting Biosamples

Published:2023-07-25 Issue: Volume: Page:
ISSN:
Container-title:INTELS’22
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Author:

Khalapyan Sergey¹^ORCID,Rybak Larisa²^ORCID,Nozdracheva Anna³^ORCID,Semenenko Tatyana³^ORCID

Affiliation:

1. Department of Automated and Information Control Systems, Stary Oskol Technological Institute n.a. A.A. Ugarov NUST MISiS, 42, Makarenko Mkr., 309516 Stary Oskol, Russia

2. Research Institute Robotics and Control Systems, Belgorod State Technological University n.a. V.G. Shukhov, 46, Kostukova Str., 308012 Belgorod, Russia

3. N.F. Gamaleya Federal Research Center for Epidemiology and Microbiology, Ministry of Health of Russia, 123098 Moscow, Russia

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/33/1/56/pdf

Reference22 articles.

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2. Quality management in biobank. World tendencies and experience of biobank of FSI NMRC for Preventive Medicine of the Ministry of Healthcare of Russia;Pokrovskaya;Russ. Clin. Lab. Diagn.,2019

3. Advancing professionalization of biobank business opera-tions: A worldwide survey;Henderson;Biopreserv. Biobank.,2019

4. Malyshev, D., Rybak, L., Carbone, G., Semenenko, T., and Nozdracheva, A. (2022). Optimal Design of a Parallel Manipulator for Aliquoting of Biomaterials Considering Workspace and Singularity Zones. Appl. Sci., 12.

5. Design of gripping devices based on a globoid transmission for a robotic biomaterial aliquoting system;Voloshkin;Robotica,2022