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Hyperspectral imaging (HSI) acquire images throughout numerous spectral bands, 14 encompassing visible wavelengths (380 nm-700 nm), near-infrared (800 nm-2500 nm), and 15 mid-infrared (2500 nm-15000 nm) 1,2. Each pixel contains several spectral bands to obtain 16 specific information regarding certain pollutants 3. HSI acquires a data cube that encompasses 171D spectral and 2D spatial information 4,5. A one-dimensional spectrum illustrates the 18 absorption of light by tissues at a pixel across various wavelengths, while two-dimensional 19 vectors denote each pixel's position within the spectral spatial array 6. HSI has been employed 20 in numerous biomedical applications to assess the physical properties of intricate surfaces and 21 identify cancer cells through precise spectral signatures 7. We sincerely thank all the authors who contributed to this Research Topic. 95
Wu et al. (Mon,) studied this question.