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This article is cited in 6 scientific papers (total in 6 papers)
The development of segmentation algorithms in holographic microscopy and tomography for determination of morphological parameters of cells
A. V. Belashova, D. A. Gorbenkoab, A. A. Zhikhorevaa, T. N. Belyaevac, E. S. Kornilovac, I. V. Semenovaa, O. S. Vasutinskiia a Ioffe Institute, St. Petersburg
b St. Petersburg National Research University of Information Technologies, Mechanics and Optics
c Institute of Cytology Russian Academy of Science, St. Petersburg
Abstract:
Algorithms of cell segmentation on two-dimensional phase images and three-dimensional distributions of a refractive index obtained by means of digital holographic microscopy and tomography are developed. The proposed algorithms are optimized for determining cell morphology characteristics including the cell volume, projection area, and surface area. A comparative analysis of the error of cell volume determination by holographic methods using the proposed cell segmentation algorithms and the standard method of confocal fluorescence microscopy has been performed.
Keywords:
holographic microscopy, holographic tomography, morphological characteristics of cells, cell segmentation.
Received: 15.07.2019 Revised: 24.07.2019 Accepted: 24.07.2019
Citation:
A. V. Belashov, D. A. Gorbenko, A. A. Zhikhoreva, T. N. Belyaeva, E. S. Kornilova, I. V. Semenova, O. S. Vasutinskii, “The development of segmentation algorithms in holographic microscopy and tomography for determination of morphological parameters of cells”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 45:22 (2019), 24–27; Tech. Phys. Lett., 45:11 (2019), 1140–1143
Linking options:
https://www.mathnet.ru/eng/pjtf5263 https://www.mathnet.ru/eng/pjtf/v45/i22/p24
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