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Detecting temporal changes in skin surrogate model using hyperspectral imaging

Detecting temporal changes in skin surrogate model using hyperspectral imaging

Sigger, Neetu, Nguyen, Tuan T. ORCID logoORCID: 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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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
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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