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Artificial Intelligence for Imaging Data Analysis in Materials Science: Microscopy and Behind Full article

Conference MIP: Engineering-III 2021: Modernization, Innovations, Progress: Advanced Technologies in Material Science, Mechanical and Automation Engineering
29-30 Apr 2021 , Krasnoyarsk
Journal IOP Conference Series - Materials Science and Engineering
ISSN: 1757-8981
Output data Year: 2021, Volume: 1155, Number: 1, Article number : 012015, Pages count : 5 DOI: 10.1088/1757-899x/1155/1/012015
Authors Okunev A.G. 1,2 , Mashukov M.Yu. 1 , Sankova N.N. 1,2 , Nartova A.V. 1,2 , Matveev A.V. 1
Affiliations
1 Novosibirsk State University, Pirogova str., 1, Novosibirsk, 630090, Russia
2 Boreskov Institute of Catalysis SB RAS, pr. Ac. Lavrentieva, 5, Novosibirsk, 630090, Russia

Funding (2)

1 Ministry of Science and Higher Education of the Russian Federation 0239-2021-0002
2 The Ministry of Education and Science of the Russian Federation

Abstract: In various fields of microscopy, a fairly common task is to count and determine the size of the studied objects. Sometimes this is a one-time tedious task that is done by lab personnel without the programming skills. In this paper, we present an approach that allows researchers to perform automated processing of research imaging data using our services and even to train deep neural networks on their own in no code mode.
Cite: Okunev A.G. , Mashukov M.Y. , Sankova N.N. , Nartova A.V. , Matveev A.V.
Artificial Intelligence for Imaging Data Analysis in Materials Science: Microscopy and Behind
IOP Conference Series - Materials Science and Engineering. 2021. V.1155. N1. 012015 :1-5. DOI: 10.1088/1757-899x/1155/1/012015 РИНЦ OpenAlex
Dates:
Submitted: May 25, 2021
Published online: Jun 9, 2021
Identifiers:
≡ Elibrary: 46302691
≡ OpenAlex: W3167968420
Citing:
≡ Elibrary 7 Сбор данных от 08.02.2026
≡ OpenAlex 9 Сбор данных от 08.02.2026
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