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Computer Optics, 2019, Volume 43, Issue 6, Pages 956–967
DOI: https://doi.org/10.18287/2412-6179-2019-43-6-956-967
(Mi co720)
 

This article is cited in 6 scientific papers (total in 6 papers)

OPTO-IT

Color models of interference images of thin stratified objects in optical microscopy

A. A. Dyachenkoab, V. P. Ryabukhoba

a Saratov State University, Saratov, Russia
b Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Saratov, Russia
References:
Abstract: Algorithms for the analysis of polychromatic interference patterns in images of thin stratified objects in optical microscopy are considered. The algorithms allow one to measure the thin-film optical thickness. A measurement method based on the comparison of colors of the interference image under study and a numerically simulated image is discussed. We discuss a mathematical model for the calculation and numerical simulation of interference patterns and algorithms for interference pattern processing. Color comparison in an RGB color model is described and limitations of such a method are shown. The feasibility of using a Lab color model is shown and algorithms of interference color comparison in this model are presented. Results of application of the presented algorithms to measuring the optical thickness of red blood cells in a blood smear are discussed. The estimation of the error and robustness of the proposed algorithms is conducted.
Keywords: interference colors, thin films, optical microscopy, interference microscopy, colorimetry, color comparison, color model.
Received: 26.06.2019
Accepted: 22.07.2019
Document Type: Article
Language: Russian
Citation: A. A. Dyachenko, V. P. Ryabukho, “Color models of interference images of thin stratified objects in optical microscopy”, Computer Optics, 43:6 (2019), 956–967
Citation in format AMSBIB
\Bibitem{DyaRya19}
\by A.~A.~Dyachenko, V.~P.~Ryabukho
\paper Color models of interference images of thin stratified objects in optical microscopy
\jour Computer Optics
\yr 2019
\vol 43
\issue 6
\pages 956--967
\mathnet{http://mi.mathnet.ru/co720}
\crossref{https://doi.org/10.18287/2412-6179-2019-43-6-956-967}
Linking options:
  • https://www.mathnet.ru/eng/co720
  • https://www.mathnet.ru/eng/co/v43/i6/p956
  • This publication is cited in the following 6 articles:
    1. Evgeniy Kolesnik, M. Derho, Maksim Rebezov, “Functional morpho-densitometric parameters of chromatin of the nucleus and cytoplasm of erythroblasts and red blood cells of birds in postembryonic ontogenesis”, Agrarian Bulletin of the, 24:01 (2024), 59  crossref
    2. D I Dudnik, A O Semkin, S N Sharangovich, “Diffraction of quasimonochromatic light beams on multilayer inhomogeneous photopolymer holographic diffraction structures”, J. Phys.: Conf. Ser., 1745:1 (2021), 012018  crossref
    3. Dmitriy V. Lebedev, Evgeniy A. Rozhkov, “Development of an Optoelectronic Plant for the Analysis and Sorting of Grain Products”, EEAPK, 2:43 (2021), 68  crossref
    4. V I Shostka, N V Shostka, S I Halilov, V I Vershitsky, “Structural features of the near-surface layers of highly diluted aqueous solutions”, J. Phys.: Conf. Ser., 1745:1 (2021), 012006  crossref
    5. Ekaterina Ushakova, Alexander Dorogov, Dmitry Zimnyakov, 2020 International Conference on Information Technology and Nanotechnology (ITNT), 2020, 1  crossref
    6. Valery Khonin, 2020 International Conference on Information Technology and Nanotechnology (ITNT), 2020, 1  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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