Detecting temporal changes in skin surrogate model using hyperspectral imaging
Sigger, Neetu, Nguyen, Tuan T. ORCID: https://orcid.org/0000-0003-0055-8218 and Tozzi, Gianluca
(2025)
Detecting temporal changes in skin surrogate model using hyperspectral imaging.
MRS Communications.
ISSN 2159-6859 (Print), 2159-6867 (Online)
(doi:10.1557/s43579-025-00777-y)
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50951 TOZZI_Detecting_Temporal_Changes_In_Skin_Surrogate_Model_Using_Hyperspectral_Imaging_(OA)_2025.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Recent research in biomedical imaging explores banana peels as a surrogate model for human skin due to shared biochemical traits, particularly the enzyme tyrosinase, linked to pigmentation and oxidative stress. This study explores the use of banana peels as a surrogate model for human skin due to their similar biochemical characteristics. We present a hyperspectral imaging (HSI) system analysing banana peels across the 440–900 nm range, detecting spectral changes linked to ripeness and oxidative stress. To reduce resource demands, we reconstructed 27-band hyperspectral data from RGB images. The results indicate significant potential for non-invasive diagnostic applications, particularly in dermatological research.
Item Type: | Article |
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Additional Information: | Centre for Advanced Manufacturing and Materials (CAMM) at the University of Greenwich, within the thematic area in Bio-Inspired Engineering, Imaging & AI (BIO-ENIGMA). - MP |
Uncontrolled Keywords: | Hyperspectral imaging, biological tissue |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science > School of Engineering (ENG) |
Last Modified: | 27 Aug 2025 11:55 |
URI: | https://gala.gre.ac.uk/id/eprint/50951 |
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