Search Results - "Chukalina, M.V."

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  1. 1

    X-ray tomography: the way from layer-by-layer radiography to computed tomography by Arlazarov, V.L., Nikolaev, D.P., Arlazarov, V.V., Chukalina, M.V.

    Published in Kompʹûternaâ optika (01-12-2021)
    “…The methods of X-ray computed tomography allow us to study the internal morphological structure of objects in a non-destructive way. The evolution of these…”
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    Journal Article
  2. 2

    Towards monitored tomographic reconstruction: algorithm-dependence and convergence by Bulatov, K.B., Ingacheva, A.S., Gilmanov, M.I., Kutukova, K., Soldatova, Z.V., Buzmakov, A.V., Chukalina, M.V., Zschech, E., Arlazarov, V.V.

    Published in Kompʹûternaâ optika (01-08-2023)
    “…The monitored tomographic reconstruction (MTR) with optimized photon flux technique is a pioneering method for X-ray computed tomography (XCT) that reduces the…”
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    Journal Article
  3. 3

    Neural network regularization in the problem of few-view computed tomography by Yamaev, A.V., Chukalina, M.V., Nikolaev, D.P., Kochiev, L.G., Chulichkov, A.I.

    Published in Kompʹûternaâ optika (01-06-2022)
    “…The computed tomography allows to reconstruct the inner morphological structure of an object without physical destructing. The accuracy of digital image…”
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    Journal Article
  4. 4

    Algorithm for post-processing of tomography images to calculate the dimension-geometric features of porous structures by Chukalina, M.V., Khafizov, A.V., Kokhan, V.V., Buzmakov, A.V., Senin, R.A., Uvarov, V.I., Grigoriev, M.V.

    Published in Kompʹûternaâ optika (01-02-2021)
    “…An algorithm for post-processing of the grayscale 3D computed tomography (CT) images of porous structures with the automatic selection of filtering parameters…”
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    Journal Article
  5. 5

    X-ray simulations method for the large field of view by Schelokov, I.A., Grigoriev, M.V., Chukalina, M.V., Asadchikov, V.E.

    Published in Optics communications (01-03-2018)
    “…In the standard approach, X-ray simulation is usually limited to the step of spatial sampling to calculate the convolution of integrals of the Fresnel type…”
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    Journal Article
  6. 6

    Laboratory Microtomographs: Design and Data Processing Algorithms by Buzmakov, A. V., Asadchikov, V. E., Zolotov, D. A., Roshchin, B. S., Dymshits, Yu. M., Shishkov, V. A., Chukalina, M. V., Ingacheva, A. S., Ichalova, D. E., Krivonosov, Yu. S., Dyachkova, I. G., Balzer, M., Castele, M., Chilingaryan, S., Kopmann, A.

    Published in Crystallography reports (01-11-2018)
    “…The design of a new automatic X-ray microtomograph is described. The parameters of optical schemes and X-ray detectors in use are presented. Methods for…”
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    Journal Article
  7. 7

    A Confocal Collimator for Radionuclide Diagnostics and X-Ray Fluorescence Analysis by Zaitsev, S. I., Trofimov, O. V., Shabelnikova, Ya. L., Chukalina, M. V.

    “…— The use of a special device that limits the field of view of a detector, i.e., a confocal collimator, is one of the approaches to obtaining information about…”
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    Journal Article
  8. 8

    Quantitative description of the properties of extended defects in silicon by means of electron- and laser-beam-induced currents by Shabelnikova, Ya. L., Yakimov, E. B., Nikolaev, D. P., Chukalina, M. V.

    Published in Semiconductors (Woodbury, N.Y.) (01-06-2015)
    “…A solar cell on a wafer of multicrystalline silicon containing grain boundaries was studied by the induced-current method. The sample was scanned by an…”
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    Journal Article
  9. 9

    Optimum filtering and stochastic optimization in EXAFS data analysis by Pavlov, V.N., Chukalina, M.V., Veligzhanin, A.A., Zubavichus, Y.V.

    Published in Computer physics communications (01-07-2011)
    “…A new approach to EXAFS data analysis is offered, based on optimal extraction and stochastic approximation of the EXAFS signal fraction due to a restricted…”
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    Journal Article
  10. 10

    Morphological analysis and reconstruction techniques for computer tomography by Asadchikov, V.E., Chulichkov, A.I., Buzmakov, A.V., Chukalina, M.V., Nikolaev, D.P., Senin, R.A., Schaefer, G.

    “…In this paper we discuss the results of morphological analysis of test objects in high-noise conditions and compare image reconstruction using two widely…”
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    Conference Proceeding