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

被引:3
|
作者
Golovynskyi, Sergii [1 ,3 ]
Golovynska, Iuliia [1 ]
Roganova, Olena [2 ]
Golovynskyi, Andrii [2 ]
Qu, Junle [1 ]
Ohulchanskyy, Tymish Y. [1 ,3 ]
机构
[1] Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen Key Lab Photon & Biophoton, Shenzhen, Peoples R China
[2] Natl Acad Sci, VM Glushkov Inst Cybernet, Kiev, Ukraine
[3] Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China
基金
中国国家自然科学基金;
关键词
hyperspectral imaging; lipids; near-infrared; optical transmission imaging; proteins; shortwave infrared; OPTICAL-PROPERTIES; ADIPOSE-TISSUE; WAVELENGTH RANGE; SPECTROSCOPY; PLAQUES; SCATTERING; OBESITY; WINDOWS; DESIGN; SYSTEM;
D O I
10.1002/jbio.202300018
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Label-free hyperspectral imaging (HSI) of lipids was demonstrated in the near-infrared (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 mu m size.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Near-infrared hyperspectral imaging for polymer particle size estimation
    Pieszczek, Lukasz
    Daszykowski, Michal
    MEASUREMENT, 2021, 186
  • [22] Quality Assessment of Crop Seeds by Near-Infrared Hyperspectral Imaging
    Zhu, Dazhou
    Wang, Kun
    Zhang, Dongyan
    Huang, Wenjiang
    Yang, Guijun
    Ma, Zhihong
    Wang, Cheng
    SENSOR LETTERS, 2011, 9 (03) : 1144 - 1150
  • [23] Penetration Depth Measurement of Near-Infrared Hyperspectral Imaging Light for Milk Powder
    Huang, Min
    Kim, Moon S.
    Chao, Kuanglin
    Qin, Jianwei
    Mo, Changyeun
    Esquerre, Carlos
    Delwiche, Stephen
    Zhu, Qibing
    SENSORS, 2016, 16 (04):
  • [24] Transillumination of Subcutaneous Adipose Tissues using Near-infrared Hyperspectral Imaging in the 1100-1800 nm Wavelength Range
    Ishii, K.
    Kitayabu, A.
    Kobayashi, Y.
    Honda, N.
    Awazu, K.
    IMAGING, MANIPULATION, AND ANALYSIS OF BIOMOLECULES, CELLS, AND TISSUES IX, 2011, 7902
  • [25] Prediction of sorghum oil content using near-infrared hyperspectral imaging
    Mendoza, Princess Tiffany D.
    Armstrong, Paul R.
    Peiris, Kamaranga H. S.
    Siliveru, Kaliramesh
    Bean, Scott R.
    Pordesimo, Lester O.
    CEREAL CHEMISTRY, 2023, 100 (03) : 775 - 783
  • [26] Visualization of hydrolysis in polylactide using near-infrared hyperspectral imaging and chemometrics
    Muroga, Shun
    Hikima, Yuta
    Ohshima, Masahiro
    JOURNAL OF APPLIED POLYMER SCIENCE, 2018, 135 (08)
  • [27] Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging
    Chung, Soo
    Yoon, Seung-Chul
    APPLIED SCIENCES-BASEL, 2021, 11 (24):
  • [28] Mapping of Leaf Water Content Using Near-Infrared Hyperspectral Imaging
    Higa, Sakura
    Kobori, Hikaru
    Tsuchikawa, Satoru
    APPLIED SPECTROSCOPY, 2013, 67 (11) : 1302 - 1307
  • [29] Non-destructive prediction of protein contents of soybean seeds using near-infrared hyperspectral imaging
    Aulia, Rizkiana
    Kim, Yena
    Amanah, Hanim Zuhrotul
    Andi, Arief Muhammad Akbar
    Kim, Haeun
    Kim, Hangi
    Lee, Wang-Hee
    Kim, Kyung-Hwan
    Baek, Jeong-Ho
    Cho, Byoung-Kwan
    INFRARED PHYSICS & TECHNOLOGY, 2022, 127
  • [30] Rapid detection of endogenous impurities in walnuts using near-infrared hyperspectral imaging technology
    Wang, Dongdong
    Zheng, Jian
    Li, Linhui
    Liang, Zile
    Zheng, Yiyin
    Huang, Shunying
    Zheng, Xinyu
    Zhou, Zhu
    Dai, Dan
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2024, 132