The holistic method of the surface structure characterization

Petrushin, Vladimir N.; Rudyak, Yuriy V.; Rytikov, G. O.

doi:10.1109/bald.2016.7886525

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…The observation of a local minimum at approximately 4-fold increasing of the primary data frame volume ( 56(±1)×56(±1) ) and the observation of the corresponding local maxima when assessing the representativeness according to the Kolmogorov-Smirnov criteria (similar to [17]) (see Fig. 5.)…”

Section: Fig 2 the Distribution Function And The Probability Densitmentioning

confidence: 94%

“…It is also convenient that the main objective of the statistical analysis of these SEM images is the identification of submicrometer structures (regular or stochastic [15,16]) on the investigated surfaces; these structures are obviously smaller than the entire field of view of the device, but they provide typical values of those or other physics-chemical and/or functional properties of the tested materials (What is a "molecule" according to the original definition? It's such a tiny part of matter that is characterized by the same set of chemical properties, as the substance in general.…”

Section: Figmentioning

confidence: 99%

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The representativeness of the statistical data frame in the quantitative image analysis

2018

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In the article the concept of representativeness of the statistical data frame is discussed. Also the statistical measure of representativeness and a method for the quantitative assessment of the degree of representativeness of the general population are proposed. To demonstrate the techniques and methods of application, we consider a case of identifying the amount of statistically reliable sampling in the analysis of polymer composite surface’s SEM-images.

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Section: Fig 2 the Distribution Function And The Probability Densitmentioning

confidence: 94%

Section: Figmentioning

confidence: 99%

The representativeness of the statistical data frame in the quantitative image analysis

2018

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“…Оптические изображения микозагрязнённых поверхностей были подвергнуты количественной характеризации в соответствии с методикой, разработанной для количественного анализа СЭМ-изображений [43][44][45][46] и применявшейся ранее [9,47,48]. Согласно этой методике текстура поверхности рассматривается как суперпозиция двумерных пространственных решёток кратных периодов.…”

Section: объекты и методы исследованияunclassified

Quantitative Assessment of the Development of Micromycete Colony on the Surfaces of Polymers and Polymer Composites

Исаев¹,

Doronin²,

Evdokimov³

et al. 2021

Math.Biol.Bioinf.

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The need to ensure the possibility of widespread use of electronic and mobile health-saving technologies requires not only the formation of an appropriate information technology infrastructure and the development of effective algorithms for processing a large amount of personal information. Development of medical devices for recording physiological processes also involves the creation of innovative biologically compatible materials that allow sensors and medical sensors to work continuously in 24/7 mode. Taking into account the long-term positive experience of using large-capacity thermoplastics and elastomers in medical equipment, it seems promising to use the corresponding polymers as the main materials of wearable electronics for medical purposes. At the same time, to ensure the biological compatibility of the materials under discussion, it is necessary to minimize the possibility of the development of pathogenic microorganisms on surfaces in contact with living tissues. This type of pathogenic organisms (pathogens of a number of dangerous diseases – mycoses) includes some types of microscopic fungi - micromycetes (in particular, Aspergillus niger van Tiegem; Aspergillus terreus Thom; Penicillium cycopium Westling). The article examines the effect of surface modification by gas-phase fluorination on the nature and degree of development of a mixed colony of micromycetes on the surfaces of experimental samples made of several types of thermoplastics (polyvinyl chloride, polypropylene, low-density polyethylene, polyethylene terephthalate) and elastomers (butyl- and butadiene-nitrile rubbers, as well as ethylene, propylene and dicyclopentadiene copolymers). The nature and degree of development of colonies are quantitatively described using the original methodology developed earlier. The effect of fluorination on the nanotexture and chemical composition of the surface and near-surface layers of experimental samples was demonstrated using scanning electron microscopy (SEM) and IR Fourier spectroscopy (IRFS). The dynamics and efficiency of fluorination are described using a linearized hyperbolic model, the parameters of which are set by the least squares method.

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“…SEM-images of polymer fiber groups for initial (A) and oxyfluorinated (B) with a gas mixture of 7.5% F 2 + 10% O 2 + 82.5% He Finally, at the maximum magnification for the Jeol7500F (Fig. 10), it is possible to fix and then model the nanotextures of the original and oxyfluorinated nonwoven fibers using the original method of the quantitative SEM-images analysis developed earlier [19][20][21]. The characteristic size for one pixel in this case is ∼1 nm.…”

Section: Multi-scale Structural Analysis Of Nonwoven Fabricsmentioning

confidence: 99%

Nanotexture effect of the fiber surface on the sorption capacity of nonwoven fabrics

Rudyak¹,

Doronin²,

Rytikov³

et al. 2020

Nanosystems: Phys. Chem. Math.

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An approach to structural and functional modelling of the oxyfluorinated nonwovens based composite materials has been developed. The structural component of the model is presented in the form of integral and differential characteristic functions of the planar heterogeneity. The correlation analysis methods revealed the existence of links between the latex sorption capacities and the nanostructural characteristics of the experimental samples' SEM-images. The obtained functional-structural model allows us to quantify the expected values of sorption capacities of the nonwoven fiber materials under the certain restrictions on the chemical compositions of the impregnating mixtures.

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The holistic method of the surface structure characterization

Cited by 4 publications

References 13 publications

The representativeness of the statistical data frame in the quantitative image analysis

The representativeness of the statistical data frame in the quantitative image analysis

Quantitative Assessment of the Development of Micromycete Colony on the Surfaces of Polymers and Polymer Composites

Nanotexture effect of the fiber surface on the sorption capacity of nonwoven fabrics

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