Back to results
Bibliographic record · Consultation and access
Artículo

Application of Image Correlation Analysis to Detect Cell Sensitivity to Magnetic Field

Lolita Marynchenko et al · Igor Sikorsky Kyiv Polytechnic Institute · 2026

Supplementary material available
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

DOAJ DOAJ Articles
Entrar por DOAJ
Main access

Supplementary material available

El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Open material

Summary

Descripción general del contenido del recurso.

Background. The increase in technogenic electromagnetic load leaves open the question of its impact on living cells, which do not have a specific evolutionary mechanism for responding to such an environmental factor. Currently, there are not enough suitable tests that can detect the effects of weak electromagnetic fields. Visualization of morphological changes in cell structure by simple optical methods does not give results, therefore, an additional image processing mechanism may be useful. Objective. To verify the suitability of the method of correlation analysis of microimages using the example of yeast cells dried in saline on a silicon substrate to detect the effect of a static magnetic field on the surface structure of cells that do not have defined mechanisms of sensitivity to it. Methods. Digital microimages of drops of yeast suspension in saline, dried on silicon surfaces under the influence of a static magnetic field of 0.17 T and without the field, were analyzed by one of the fractal methods - the correlation di-mension parameter was determined, which was based on the matrix of pixel brightness values. Results. The suitability of the correlation analysis method for determining changes in the surface structure of yeast cells and sodium chloride crystals under the influence of a static magnetic field of 0.17 T during drying of the yeast sus-pension was shown: the correlation measurability index, which indicated the variability of the structures, increased for yeast cells, and decreased for NaCl crystals. Conclusions. In the case of correlation dimension, unlike other dimensions, its calculation is carried out using bright-ness values, therefore, even those image elements that are almost indistinguishable to the eye are taken into account. That is why this method turned out to be sensitive to changes in the structure and relief of the yeast cell wall dried un-der the influence of a static magnetic field of 0.17 T, recording its complications, and also demonstrating a more homo-geneous structure of the formed NaCl crystals.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

al, L. M. E. (2026). Application of Image Correlation Analysis to Detect Cell Sensitivity to Magnetic Field. https://doi.org/10.20535/ibb.2026.10.1.354760

MLA

al, Lolita Marynchenko et. "Application of Image Correlation Analysis to Detect Cell Sensitivity to Magnetic Field." 2026. https://doi.org/10.20535/ibb.2026.10.1.354760.

Chicago

al, Lolita Marynchenko et. 2026. "Application of Image Correlation Analysis to Detect Cell Sensitivity to Magnetic Field.". https://doi.org/10.20535/ibb.2026.10.1.354760.

Harvard

al, L. M. E. 2026, Application of Image Correlation Analysis to Detect Cell Sensitivity to Magnetic Field, Igor Sikorsky Kyiv Polytechnic Institute, available at: https://doi.org/10.20535/ibb.2026.10.1.354760 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Application of Image Correlation Analysis to Detect Cell Sensitivity to Magnetic Field
Author / contributors
Lolita Marynchenko et al
Publisher
Igor Sikorsky Kyiv Polytechnic Institute
Publication year
2026
ISSN
2616-177X
ISSN
2616-177X
Language
English

Subjects

Explore related resources through these subjects.

Copied