Journal Issue: Научная визуализация
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Volume
15
Number
5
Issue Date
Journal Title
Journal ISSN
2079-3537
Том журнала
Том журнала
Научная визуализация
(15)
Статьи
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Visualization of Radiation Scattering Indicatrix on a Polydisperse System of Spherical Particles
(НИЯУ МИФИ, 2023) Sapronov, M. V.; Usmanova, S. S.
The article is devoted to solving the direct problem of light scattering on an ensemble of spherical polydisperse particles. The paper presents an algorithm for computer simulation of the optical radiation scattering indicatrix by a particle system based on the theory of G. Mie. The influence of the relative complex refractive index of scattering centers and their size distribution, wavelength and polarization state of incident light on computer models of scattering indicatrix is investigated. The practical significance of the results obtained lies in the fact that computer models of scattering indicatrix are useful in the experimental study of dispersed systems by static light scattering for the optimal choice of installation parameters and experimental conditions and, more importantly, in solving the inverse problem of the static light scattering method to restore the characteristics of nanoparticles from experimental data.
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Spectroscopy of Testicular Tissues as a Tool for Azoospermia Visualization During Micro-TESE and IVF: a Feasibility Study
(НИЯУ МИФИ, 2023) Yudovskii, S. O.; Zolotukhina, A. A.; Guryleva, A. V.; Machikhin, A. S.; Reshetov, L. V.
Non-obstructive azoospermia observed in 10% of infertile men and 0,6% of all men is the most severe form of male infertility. The histological structure of testicular tissue in patients with non-obstructive azoospermia is heterogeneous and is represented by various disorders of spermatogenesis. The only way to achieve pregnancy in the families of patients with non-obstructive azoospermia is the method of in vitro fertilization with intracellular sperm injection. The most effective method of detecting spermatozoa suitable for in vitro fertilization in testicles is the micro-TESE method. It is based on a subjective visual assessment of tissues and allows detecting spermatozoa in non-obstructive azoospermia only in 38-60% of cases. To increase the effectiveness of micro-TESE, the method used must be objective, high-specific, safe for reproductive cells, and also implemented during the operation in real time. The existing approaches to solving the problem of identifying seminal tubules with preserved spermatogenesis, such as multiphoton microscope, Raman spectroscopy, optical coherence tomography and etc., are either associated with the use of laser radiation with unproven safety or cannot be implemented intraoperatively and operationally. The paper considers the possibility of creating a specialized microsurgical system for intraoperative evaluation of testicular tissues histological structure using the spatial distribution of its spectral characteristics. We proposed to implement such a system based on multispectral imaging of the studied tissues with real-time data processing and displaying the results using augmented reality methods. The reflectance spectrum of testicular tissue with varying degrees of preservation of spermatogenesis in the visible and near infrared spectral ranges was studied. Spectral regions were identified that potentially provide the best differentiation of healthy tissues and tissues with impaired spermatogenesis. The described approach can be implemented intraoperatively and safely and may serve to automate and objectify the diagnosis of testicular tissues in micro-TESE.
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Applicability of Visualizations on the Poincare Sphere for The Study of Oscillatory Processes in Photochemical and Photoelectrochemical Systems Including Photoinduced Processes in Semiconductors
(НИЯУ МИФИ, 2023) Gradov, O. A.
The use of visualization on the Poincaré sphere for the analysis of self-organization in semiconductors is quite exotic, however, it does not have physical reasons that would make it impossible to implement this approach. We propose to use the Poincaré sphere visualization method to analyze fluctuations and oscillations in the experimentally measurable concentrations of different ions in self-organizing media, including semiconductors and their precursors under conditions of photoinduced self-organization and microwave-induced self-organization (as well as to analyze the oscillatory impulse wave behavior of their self-organization products in ultrafine form as dispersed semiconductor devices). Approbation of this principle is carried out by means of projection onto the sphere of phase portraits of these types of vibrations, which is equivalent to the implementation of an operator that projects a 2D planar graph onto a 3D sphere.
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Explorative Bibliometric Study of Medical Image Analysis: Unveiling Trends and Advancements
(НИЯУ МИФИ, 2023) BinuThomas; JeenaJoseph; JobinJose
Medical image analysis has quickly advanced, with several advantages for research, diagnosis, and healthcare planning. We must have enough knowledge of current trends and developments in this field due to improvements in medical imaging technology and the accessibility of a wide range of medical image databases. This work covers the research environment for bibliometric analysis of academic articles as part of medical image analysis, utilizing the tools VOSviewer and Biblioshiny. The Scopus database contains 1,973 articles submitted between 1988 and 2023; all have been gathered and examined. The study has focused on the key bibliometric elements, such as authorship patterns, highly cited papers, prestigious journals, and collaborative networks. The outcomes of our inquiry demonstrate its interdisciplinary nature. This bibliometric analysis is a valuable resource for researchers, practitioners, and decision-makers, allowing them to identify significant trends, identify knowledge gaps, and explore prospects for further advancements in this critical field by providing a comprehensive overview of the literature on medical image analysis.
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Using Data Fabric Architecture to Create Personalized Visual Analytics Systems in the Field of Digital Medicine
(НИЯУ МИФИ, 2023) Chuprina, S. I.
The paper describes an innovative approach of applying data factory technologies, which have found their successful practical application to create new generations of corporate data warehouses, are proposed to be used to develop personalized visual analytics environments. The approach provides access to digital data of a particular person from both heterogeneous distributed external and local sources not on the principles of their consolidation, but on the principles of virtual integration. The application of the described approach is demonstrated by the example of the development of visual analytics tools in the field of digital medicine. The emphasis is on the technological aspects of applying the concept of data factories for the development of personalized visual analytics services, means of semantic integration of heterogeneous data sources and their adaptation not only to heterogeneous structured and unstructured data sources, but also to the semantic content of various subject areas.