Recent advancements in biomedical imaging are focusing on innovative models for investigating human skin conditions. New research indicates a biochemical link between banana peels and human skin, specifically through the enzyme tyrosinase, which is crucial for pigmentation and oxidative stress. Investigations showed that, similar to human skin, banana peels experience oxidative browning due to tyrosinase activity. Taking advantage of this similarity, we have created imaging techniques to monitor biochemical shifts in bananas as a potential proxy for identifying skin changes like sun spots or melanoma. This paper presents the use of hyperspectral imaging (HSI) to examine the spectral characteristics of banana peels as an approach of researching pigmentation disorders and oxidative damage. We ultilise a HSI system that captures spectral reflectance data within the 440 nm to 900 nm wavelength range, featuring a hyperspectral cube resolution of 956 \(\times \) 952 \(\times \) 96. Our method allows for a focused spectral evaluation by dynamically selecting and analysing specific areas in banana samples over several days. Initial spectral analysis reveals the system’s ability to detect reflectance changes associated with biochemical factors such as ripeness, bruising, and oxidative stress—elements that correspond to pigmentation changes in human skin.

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Identifying Temporal Variations in Skin Surrogate Models Through Hyperspectral Imaging

  • Neetu Sigger,
  • Tuan T. Nguyen,
  • Gianluca Tozzi

摘要

Recent advancements in biomedical imaging are focusing on innovative models for investigating human skin conditions. New research indicates a biochemical link between banana peels and human skin, specifically through the enzyme tyrosinase, which is crucial for pigmentation and oxidative stress. Investigations showed that, similar to human skin, banana peels experience oxidative browning due to tyrosinase activity. Taking advantage of this similarity, we have created imaging techniques to monitor biochemical shifts in bananas as a potential proxy for identifying skin changes like sun spots or melanoma. This paper presents the use of hyperspectral imaging (HSI) to examine the spectral characteristics of banana peels as an approach of researching pigmentation disorders and oxidative damage. We ultilise a HSI system that captures spectral reflectance data within the 440 nm to 900 nm wavelength range, featuring a hyperspectral cube resolution of 956 \(\times \) 952 \(\times \) 96. Our method allows for a focused spectral evaluation by dynamically selecting and analysing specific areas in banana samples over several days. Initial spectral analysis reveals the system’s ability to detect reflectance changes associated with biochemical factors such as ripeness, bruising, and oxidative stress—elements that correspond to pigmentation changes in human skin.