iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts

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iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts. / Nartova, A. V.; Matveev, A. V.; Mashukov, M. Yu et al.

In: Kinetics and Catalysis, Vol. 64, No. 4, 08.2023, p. 458-465.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{e81c934006234fe9a2a2cae6437c3b4e,

title = "iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts",

abstract = "The iOk platform was presented, which combines the ParticlesNN web service and the DLgram and No Code ML Telegram bots for automatic search and analysis of objects in images using artificial intelligence. The platform allows one to work with any kind of images (electron, probe, and optical microscopy images and photographs) of any quality without preprocessing. Users can train a neural network on their own on their images. The results of image recognition are objects and their areas, sizes, and positions in the image. The services are in free access, and coding skills are not required to use them. The iOk platform is a user-friendly tool for working with any kind of images by automatically searching for objects and determining their parameters.",

keywords = "artificial intelligence, deep machine learning, image analysis, microscopy, particle analysis",

author = "Nartova, {A. V.} and Matveev, {A. V.} and Mashukov, {M. Yu} and Belotserkovskii, {V. A.} and Sankova, {N. N.} and Kudinov, {V. Yu} and Okunev, {A. G.}",

note = "The work was supported by the Russian Science Foundation (project no. 22-23-00951, https://rscf.ru/project/22-23-00951/). We are grateful to L.M. Kovtunova for the preparation of supported catalysts on porous supports, as well as to colleagues from the Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia, in particular, E. Yu. Gerasimov for TEM imaging. Публикация для корректировки.",

year = "2023",

month = aug,

doi = "10.1134/S0023158423040092",

language = "English",

volume = "64",

pages = "458--465",

journal = "Kinetics and Catalysis",

issn = "0023-1584",

publisher = "Maik Nauka-Interperiodica Publishing",

number = "4",

}

RIS

TY - JOUR

T1 - iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts

AU - Nartova, A. V.

AU - Matveev, A. V.

AU - Mashukov, M. Yu

AU - Belotserkovskii, V. A.

AU - Sankova, N. N.

AU - Kudinov, V. Yu

AU - Okunev, A. G.

N1 - The work was supported by the Russian Science Foundation (project no. 22-23-00951, https://rscf.ru/project/22-23-00951/). We are grateful to L.M. Kovtunova for the preparation of supported catalysts on porous supports, as well as to colleagues from the Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia, in particular, E. Yu. Gerasimov for TEM imaging. Публикация для корректировки.

PY - 2023/8

Y1 - 2023/8

N2 - The iOk platform was presented, which combines the ParticlesNN web service and the DLgram and No Code ML Telegram bots for automatic search and analysis of objects in images using artificial intelligence. The platform allows one to work with any kind of images (electron, probe, and optical microscopy images and photographs) of any quality without preprocessing. Users can train a neural network on their own on their images. The results of image recognition are objects and their areas, sizes, and positions in the image. The services are in free access, and coding skills are not required to use them. The iOk platform is a user-friendly tool for working with any kind of images by automatically searching for objects and determining their parameters.

AB - The iOk platform was presented, which combines the ParticlesNN web service and the DLgram and No Code ML Telegram bots for automatic search and analysis of objects in images using artificial intelligence. The platform allows one to work with any kind of images (electron, probe, and optical microscopy images and photographs) of any quality without preprocessing. Users can train a neural network on their own on their images. The results of image recognition are objects and their areas, sizes, and positions in the image. The services are in free access, and coding skills are not required to use them. The iOk platform is a user-friendly tool for working with any kind of images by automatically searching for objects and determining their parameters.

KW - artificial intelligence

KW - deep machine learning

KW - image analysis

KW - microscopy

KW - particle analysis

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85165549421&origin=inward&txGid=b2180b0fa511690bee069561feefde04

UR - https://www.mendeley.com/catalogue/6b4d0017-47fd-3e97-8aed-51b4e949603e/

U2 - 10.1134/S0023158423040092

DO - 10.1134/S0023158423040092

M3 - Article

VL - 64

SP - 458

EP - 465

JO - Kinetics and Catalysis

JF - Kinetics and Catalysis

SN - 0023-1584

IS - 4

ER -

ID: 59557481