Multispectral imaging in the extended near-infrared window based on endogenous chromophores

被引:61
|
作者
Cao, Qian [1 ]
Zhegalova, Natalia G. [1 ]
Wang, Steven T. [1 ]
Akers, Walter J. [1 ]
Berezin, Mikhail Y. [1 ]
机构
[1] Washington Univ, Sch Med, Dept Radiol, St Louis, MO 63110 USA
基金
美国国家卫生研究院;
关键词
extended near infrared; multispectral imaging; endogenous chromophores; water; lipids; DIFFUSE-REFLECTANCE; OPTICAL-PROPERTIES; CARBON NANOTUBES; WAVELENGTH RANGE; TISSUE; SPECTROSCOPY; ABSORPTION; SCATTERING; LIGHT; FETAL;
D O I
10.1117/1.JBO.18.10.101318
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
To minimize the problem with scattering in deep tissues while increasing the penetration depth, we explored the feasibility of imaging in the relatively unexplored extended near infrared (exNIR) spectral region at 900 to 1400 nm with endogenous chromophores. This region, also known as the second NIR window, is weakly dominated by absorption from water and lipids and is free from other endogenous chromophores with virtually no autofluorescence. To demonstrate the applicability of the exNIR for bioimaging, we analyzed the optical properties of individual components and biological tissues using an InGaAs spectrophotometer and a multispectral InGaAs scanning imager featuring transmission geometry. Based on the differences in spectral properties of tissues, we utilized ratiometric approaches to extract spectral characteristics from the acquired three-dimensional "datacube". The obtained images of an exNIR transmission through a mouse head revealed sufficient details consistent with anatomical structures. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis
    Rey-Barroso, Laura
    Burgos-Fernandez, Francisco J.
    Delpueyo, Xana
    Ares, Miguel
    Royo, Santiago
    Malvehy, Josep
    Puig, Susana
    Vilaseca, Meritxell
    SENSORS, 2018, 18 (05)
  • [2] Multispectral near-infrared imaging for wetness estimation
    Maeda, Yoshihiro
    Tsukimura, Goki
    Sugimura, Daisuke
    Hamamoto, Takayuki
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2022, 39 (11) : 1958 - 1970
  • [3] Molecular Imaging in the Second Near-Infrared Window
    Wan, Hao
    Du, Haotian
    Wang, Feifei
    Dai, Hongjie
    ADVANCED FUNCTIONAL MATERIALS, 2019, 29 (25)
  • [4] Perfecting and extending the near-infrared imaging window
    Zhe Feng
    Tao Tang
    Tianxiang Wu
    Xiaoming Yu
    Yuhuang Zhang
    Meng Wang
    Junyan Zheng
    Yanyun Ying
    Siyi Chen
    Jing Zhou
    Xiaoxiao Fan
    Dan Zhang
    Shengliang Li
    Mingxi Zhang
    Jun Qian
    Light: Science & Applications, 10
  • [5] Perfecting and extending the near-infrared imaging window
    Feng, Zhe
    Tang, Tao
    Wu, Tianxiang
    Yu, Xiaoming
    Zhang, Yuhuang
    Wang, Meng
    Zheng, Junyan
    Ying, Yanyun
    Chen, Siyi
    Zhou, Jing
    Fan, Xiaoxiao
    Li, Shengliang
    Zhang, Mingxi
    Qian, Jun
    LIGHT-SCIENCE & APPLICATIONS, 2021, 10 (01)
  • [6] Fast visible and extended near-infrared multispectral fundus camera
    Alterini, Tommaso
    Diaz-Douton, Fernando
    Burgos-Fernandez, Francisco J.
    Gonzalez, Laura
    Mateo, Carlos
    Vilaseca, Meritxell
    JOURNAL OF BIOMEDICAL OPTICS, 2019, 24 (09)
  • [7] Photoacoustic imaging in the second near-infrared window: a review
    Upputuri, Paul Kumar
    Pramanik, Manojit
    JOURNAL OF BIOMEDICAL OPTICS, 2019, 24 (04)
  • [8] Multimodal molecular imaging in the second near-infrared window
    Wu, Menglin
    Li, Xue
    Mu, Xiaoyu
    Zhang, Xuening
    Wang, Hao
    Zhang, Xiao-Dong
    NANOMEDICINE, 2022, 17 (21) : 1585 - 1606
  • [9] Nanomaterials for photoacoustic imaging in the second near-infrared window
    Huang, Kai
    Zhang, Yifan
    Lin, Jing
    Huang, Peng
    BIOMATERIALS SCIENCE, 2019, 7 (02) : 472 - 479
  • [10] Multispectral Near-infrared Imaging Technologies for Nonmydriatic Fundus Camera
    Takehara, Hironari
    Sumi, Hirofumi
    Ze, Wang
    Kondo, Takahiro
    Haruta, Makito
    Sasagawa, Kiyotaka
    Ohta, Jun
    2019 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS 2019), 2019,