Spectral imaging for quantitative histology and cytogenetics

被引:0
|
作者
Rothmann, C
Bar-Am, I
Malik, Z [1 ]
机构
[1] Bar Ilan Univ, Dept Life Sci, IL-52900 Ramat Gan, Israel
[2] Appl Spectral Imaging, Haemek, Israel
关键词
spectral-imaging; Fourier spectroscopy; spectral similarity mapping; optical density; SKY;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Evaluation of cell morphology by bright field microscopy is the pillar of histopathological diagnosis. The need for quantitative and objective parameters for diagnosis gave rise to the development of morphometric methods, Morphometry combined with spectral imaging provides multi-pixel information from a specimen, which can be used for further image processing and quantitative analysis. The spectroscopic analysis is based on the ability of a stained histological specimen to absorb, reflect, or emit photons in ways characteristic to its interactions with specific dyes. Spectral information obtained from a histological specimen is stored in a cube whose appellate signifies the two spatial dimensions of a flat sample (x and y) and the third dimension, the spectrum, representing the light intensity for every wavelength. By mathematical analysis of the cube database, it is possible to perform the function of spectral-similarity mapping (SSM) which enables the demarcation of areas occupied by the same type of material. Spectral similarity mapping constructs new images of the specimen, revealing areas with similar stain-macromolecule characteristics and enhancing subcellular features. Spectral imaging combined with SSM reveals nuclear organization and identifies specifically the nucleoli domains. Therefore, differentiation stages as well as apoptotic and necrotic conditions are easily quantified. The commercial SpectraCube(TM) system was developed for the application of spectral imaging in biology, recording both transmitted light and fluorescence. The SKY technique utilizes the advantages of the SpectraCube(TM) for multi probe FISH and chromosome karyotyping, identifying marker chromosomes, detecting subtle chromosome translocations and clarifying complex karyotypes.
引用
收藏
页码:921 / 926
页数:6
相关论文
共 50 条
  • [31] Study of Technology on Spectral Polarization Imaging
    Liu Yang
    Fu Qiang
    Liu Xianzhu
    Zhan Juntong
    Jiang Huilin
    OPTICAL SENSING AND IMAGING TECHNOLOGIES AND APPLICATIONS, 2018, 10846
  • [32] Fluorescence Multiplexing with Spectral Imaging and Combinatorics
    Holzapfel, Hadassa Y.
    Stern, Alan D.
    Bouhaddou, Mehdi
    Anglin, Caitlin M.
    Putur, Danielle
    Comer, Sarah
    Birtwistle, Marc R.
    ACS COMBINATORIAL SCIENCE, 2018, 20 (11) : 653 - 659
  • [33] Design Optimization For Snapshot Spectral Imaging
    Ayazgok, Suleyman
    Oktem, Figen S.
    2019 27TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2019,
  • [34] Adaptive MWIR spectral imaging sensor
    Shepherd, F. D.
    Mooney, J. M.
    Reeves, T. E.
    Dumont, P.
    Weeks, M. M.
    DiSalvo, S.
    INFRARED SYSTEMS AND PHOTOELECTRONIC TECHNOLOGY III, 2008, 7055
  • [35] Correlations in Joint Spectral and Polarization Imaging
    Courtier, Guillaume
    Lapray, Pierre-Jean
    Thomas, Jean-Baptiste
    Farup, Ivar
    SENSORS, 2021, 21 (01) : 1 - 12
  • [36] Multimode microscopy: spectral and lifetime imaging
    Blum, Christian
    Cesa, Yanina
    Escalante, Maryana
    Subramaniam, Vinod
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2009, 6 : S35 - S43
  • [37] Spectral Super-Resolution in Colored Coded Aperture Spectral Imaging
    Parada-Mayorga, Alejandro
    Arce, Gonzalo R.
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2016, 2 (04): : 440 - 455
  • [38] Optical design of MWIR spectral imaging system encoding in spectral dimension
    Zhao Y.
    He W.
    Liu Z.
    Fu Y.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2021, 50 (12):
  • [39] Research on Mural Painting Appreciatione Based on Spectral Imaging and Spectral Analysis
    Xu Wen-zhong
    Tang Xing-jia
    Zhang Geng
    Yang Fan-chao
    Huang Xing
    Li Xia
    Liu Dai-yun
    Zhao Xi-Chen
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37 (10) : 3235 - 3241
  • [40] Spectral encoded computational ghost imaging
    Huang, Jian
    Shi, Dongfeng
    Meng, Wenwen
    Zha, Linbin
    Yuan, Kee
    Hu, Shunxing
    Wang, Yingjian
    OPTICS COMMUNICATIONS, 2020, 474