Version 1
: Received: 7 November 2023 / Approved: 9 November 2023 / Online: 9 November 2023 (14:24:05 CET)
How to cite:
Matija, L.; Jeftic, B.; Dragicevic, A.; Stanković, I.; Antonic, V.; Koruga, D. Opto-Magnetic Imaging Spectroscopy Based on Hyper Convolution Spectra and Its Applications. Preprints2023, 2023110640. https://doi.org/10.20944/preprints202311.0640.v1
Matija, L.; Jeftic, B.; Dragicevic, A.; Stanković, I.; Antonic, V.; Koruga, D. Opto-Magnetic Imaging Spectroscopy Based on Hyper Convolution Spectra and Its Applications. Preprints 2023, 2023110640. https://doi.org/10.20944/preprints202311.0640.v1
Matija, L.; Jeftic, B.; Dragicevic, A.; Stanković, I.; Antonic, V.; Koruga, D. Opto-Magnetic Imaging Spectroscopy Based on Hyper Convolution Spectra and Its Applications. Preprints2023, 2023110640. https://doi.org/10.20944/preprints202311.0640.v1
APA Style
Matija, L., Jeftic, B., Dragicevic, A., Stanković, I., Antonic, V., & Koruga, D. (2023). Opto-Magnetic Imaging Spectroscopy Based on Hyper Convolution Spectra and Its Applications. Preprints. https://doi.org/10.20944/preprints202311.0640.v1
Chicago/Turabian Style
Matija, L., Vlado Antonic and Djuro Koruga. 2023 "Opto-Magnetic Imaging Spectroscopy Based on Hyper Convolution Spectra and Its Applications" Preprints. https://doi.org/10.20944/preprints202311.0640.v1
Abstract
In this paper, a relatively new hyper convolution spectra for characterization liquid, viscoelastic and solid samples is presented. Special attention is paid to the biophysical characterization of epithelial tissues and early detection of cancer of the skin, cervix, colon, and oral cavity. The method is based on the use of two types of white light, diffuse and polarized, from the same LED light sources. Based on the subtraction of the intensity values of these two lights and using the hyper convolution algorithm, the ratio of paired and unpaired electrons of tissue is obtained. This ratio correlates well with the state of the tissue: normal, irritating, precancerous, and cancerous. First, a proof-of-concept studies were performed, and later clinical studies on samples from one thousand two hundred fifteen people were performed. It showed that hyper Opto-Magnetic Imaging Spectroscopy (OMIS) can detect epithelial tissue cancers with an accuracy of 85-96%. Bearing in mind that the OMIS method also acquires the biophysical characteristics of the deeper skin layers (epidermis, basement membrane, dermis) by analysing convolution spectra of RGB channels of both diffuse and polarized white light, it is possible to apply this method in cosmetics (skin hydration, collagen, and elastin states, etc.). During OMIS applications, we noticed places where improvements could be made to increase method’s accuracy using advanced machine learning methodologies.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
