Artificial Intelligence for Imaging Data Analysis in Materials Science: Microscopy and Behind | Sciact - CRIS-system of Boreskov Institute of Catalysis

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

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.

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

Submitted:	May 25, 2021
Published online:	Jun 9, 2021

Elibrary:	46302691
OpenAlex:	W3167968420

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