Hyperspectral linear unmixing based on collaborative sparsity and multi-band non-local total variation

Wang, Guangyi; Zhang, Youmin; Xie, Wenfang; Qu, Yaohong; Feng, Licheng

doi:10.1080/01431161.2021.1996653

Cited by 5 publications

(1 citation statement)

References 49 publications

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“…In this case, the unmixing can utilize 1210 nm and 1730/1760 nm lipid fingerprints, also bearing in the calculation of the background water absorption bands. This can be considered as a continuous absorption multiband unmixing [58,59] in the NIR-SWIR range. There, the best distinguishing of small lipid inclusions and a low background noise, appeared due to the less misrecognition, are noticeable.…”

Section: Hyperspectral Imaging Of Lipids and Proteinsmentioning

confidence: 99%

Hyperspectral imaging of lipids in biological tissues using near‐infrared and shortwave infrared transmission mode: A pilot study

Golovynskyi

Golovynska

Roganova

et al. 2023

Journal of Biophotonics

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Label-free hyperspectral imaging (HSI) of lipids was demonstrated in the nearinfrared (NIR) and shortwave infrared (SWIR) regions (950-1800 nm) using porcine tissue. HSI was performed in the transmission light-pass configuration, using a NIR-SWIR camera coupled with a liquid crystal tunable filter. The transmittance spectra of the regions of interest (ROIs), which correspond to the lipid and muscle areas in the specimen, were utilized for the spectrum unmixing. The transmittance spectra in ROIs were compared with those recorded by a spectrophotometer using samples of adipose and muscle. The lipid optical absorption bands at 1210 and 1730 nm were first used for the unmixing and mapping. Then, we performed the continuous multiband unmixing over the entire available spectral range, thereby, considering a combination of characteristic absorption bands of lipids, proteins, and water. The enhanced protocol demonstrates the ability to visualize small adipose inclusions of 1-10 μm size.

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Section: Hyperspectral Imaging Of Lipids and Proteinsmentioning

confidence: 99%