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.

Original languageEnglish
Title of host publicationProceedings of the Future Technologies Conference (FTC) 2021, Volume 2
EditorsKohei Arai
PublisherSpringer Nature
Pages617-635
Number of pages19
Volume2
ISBN (Electronic)978-3-030-89880-9
ISBN (Print)9783030898793
DOIs
StatePublished - 2022
Event6th Future Technologies Conference, FTC 2021: Virtual Conference - Virtual, Virtual, Online, Russian Federation
Duration: 28 Oct 202129 Oct 2021
https://saiconference.com/Conferences/FTC2021

Publication series

NameLecture Notes in Networks and Systems
Volume359 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference6th Future Technologies Conference, FTC 2021
Abbreviated titleFTC 2021
Country/TerritoryRussian Federation
CityVirtual, Online
Period28/10/2129/10/21
Internet address

    Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

    Research areas

  • Algorithms comparison, Biomedical imaging, Digital microscopy, Dust removal, Field diagnostics, Focus stacking, Image acquiring, Mobile computing, Mobile microscopy

ID: 88205952