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Smart Mobile Microscopy : Towards Fully-Automated Digitization. / Kornilova, Anastasiia; Kirilenko, Iakov; Iarosh, Dmitrii; Kutuev, Vladimir; Strutovsky, Maxim.

Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2. ed. / Kohei Arai. Vol. 2 Springer Nature, 2022. p. 617-635 (Lecture Notes in Networks and Systems; Vol. 359 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Kornilova, A, Kirilenko, I, Iarosh, D, Kutuev, V & Strutovsky, M 2022, Smart Mobile Microscopy: Towards Fully-Automated Digitization. in K Arai (ed.), Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2. vol. 2, Lecture Notes in Networks and Systems, vol. 359 LNNS, Springer Nature, pp. 617-635, 6th Future Technologies Conference, FTC 2021, Virtual, Online, Russian Federation, 28/10/21. https://doi.org/10.1007/978-3-030-89880-9_46

APA

Kornilova, A., Kirilenko, I., Iarosh, D., Kutuev, V., & Strutovsky, M. (2022). Smart Mobile Microscopy: Towards Fully-Automated Digitization. In K. Arai (Ed.), Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2 (Vol. 2, pp. 617-635). (Lecture Notes in Networks and Systems; Vol. 359 LNNS). Springer Nature. https://doi.org/10.1007/978-3-030-89880-9_46

Vancouver

Kornilova A, Kirilenko I, Iarosh D, Kutuev V, Strutovsky M. Smart Mobile Microscopy: Towards Fully-Automated Digitization. In Arai K, editor, Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2. Vol. 2. Springer Nature. 2022. p. 617-635. (Lecture Notes in Networks and Systems). https://doi.org/10.1007/978-3-030-89880-9_46

Author

Kornilova, Anastasiia ; Kirilenko, Iakov ; Iarosh, Dmitrii ; Kutuev, Vladimir ; Strutovsky, Maxim. / Smart Mobile Microscopy : Towards Fully-Automated Digitization. Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2. editor / Kohei Arai. Vol. 2 Springer Nature, 2022. pp. 617-635 (Lecture Notes in Networks and Systems).

BibTeX

@inproceedings{a4df0f5554234bb5964ce60f88f3a4e2,
title = "Smart Mobile Microscopy: Towards Fully-Automated Digitization",
abstract = "Mobile microscopy is a newly formed field that emerged from a combination of optical microscopy capabilities and spread, functionality, and ever-increasing computing resources of mobile devices. Despite the idea of creating a system that would successfully merge a microscope, numerous computer vision methods, and a mobile device is regularly examined, the resulting implementations still require the presence of a qualified operator to control specimen digitization. In this paper, we address the task of surpassing this constraint and present a “smart” mobile microscope concept aimed at automatic digitization of the most valuable visual information about the specimen. We perform this through combining automated microscope setup control and classic techniques such as auto-focusing, in-focus filtering, and focus-stacking—adapted and optimized as parts of a mobile cross-platform library.",
keywords = "Algorithms comparison, Biomedical imaging, Digital microscopy, Dust removal, Field diagnostics, Focus stacking, Image acquiring, Mobile computing, Mobile microscopy",
author = "Anastasiia Kornilova and Iakov Kirilenko and Dmitrii Iarosh and Vladimir Kutuev and Maxim Strutovsky",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th Future Technologies Conference, FTC 2021 : Virtual Conference , FTC 2021 ; Conference date: 28-10-2021 Through 29-10-2021",
year = "2022",
doi = "10.1007/978-3-030-89880-9_46",
language = "English",
isbn = "9783030898793",
volume = "2",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Nature",
pages = "617--635",
editor = "Kohei Arai",
booktitle = "Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2",
address = "Germany",
url = "https://saiconference.com/Conferences/FTC2021",

}

RIS

TY - GEN

T1 - Smart Mobile Microscopy

T2 - 6th Future Technologies Conference, FTC 2021

AU - Kornilova, Anastasiia

AU - Kirilenko, Iakov

AU - Iarosh, Dmitrii

AU - Kutuev, Vladimir

AU - Strutovsky, Maxim

N1 - Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022

Y1 - 2022

N2 - Mobile microscopy is a newly formed field that emerged from a combination of optical microscopy capabilities and spread, functionality, and ever-increasing computing resources of mobile devices. Despite the idea of creating a system that would successfully merge a microscope, numerous computer vision methods, and a mobile device is regularly examined, the resulting implementations still require the presence of a qualified operator to control specimen digitization. In this paper, we address the task of surpassing this constraint and present a “smart” mobile microscope concept aimed at automatic digitization of the most valuable visual information about the specimen. We perform this through combining automated microscope setup control and classic techniques such as auto-focusing, in-focus filtering, and focus-stacking—adapted and optimized as parts of a mobile cross-platform library.

AB - Mobile microscopy is a newly formed field that emerged from a combination of optical microscopy capabilities and spread, functionality, and ever-increasing computing resources of mobile devices. Despite the idea of creating a system that would successfully merge a microscope, numerous computer vision methods, and a mobile device is regularly examined, the resulting implementations still require the presence of a qualified operator to control specimen digitization. In this paper, we address the task of surpassing this constraint and present a “smart” mobile microscope concept aimed at automatic digitization of the most valuable visual information about the specimen. We perform this through combining automated microscope setup control and classic techniques such as auto-focusing, in-focus filtering, and focus-stacking—adapted and optimized as parts of a mobile cross-platform library.

KW - Algorithms comparison

KW - Biomedical imaging

KW - Digital microscopy

KW - Dust removal

KW - Field diagnostics

KW - Focus stacking

KW - Image acquiring

KW - Mobile computing

KW - Mobile microscopy

UR - http://www.scopus.com/inward/record.url?scp=85119893297&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/11bc4de7-2732-3e26-9a85-7768fbfde377/

U2 - 10.1007/978-3-030-89880-9_46

DO - 10.1007/978-3-030-89880-9_46

M3 - Conference contribution

AN - SCOPUS:85119893297

SN - 9783030898793

VL - 2

T3 - Lecture Notes in Networks and Systems

SP - 617

EP - 635

BT - Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2

A2 - Arai, Kohei

PB - Springer Nature

Y2 - 28 October 2021 through 29 October 2021

ER -

ID: 88205952