Compressive hyperspectral microscopic imaging using spectral-coded illumination

被引:1
作者
Yang, Ting [1 ]
Xu, Zhilong [2 ]
Ren, Wenyi [2 ]
Feng, Yang [2 ]
Wu, Dan [3 ]
Zhang, Rui [2 ]
Xie, Yingge [2 ]
机构
[1] Northwest Agr & Forestry Univ, Coll Informat Engn, Yangling 712100, Shaanxi, Peoples R China
[2] Northwest Agr & Forestry Univ, Coll Sci, Yangling 712100, Shaanxi, Peoples R China
[3] Northwest Agr & Forestry Univ, Coll Mech & Elect Engn, Yangling 712100, Shaanxi, Peoples R China
关键词
Compressive sensing; Hyperspectral imaging; Microscope; Information reconstruction; QUALITY; DESIGN; WHOLE;
D O I
10.1016/j.optlastec.2023.109631
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A hyperspectral microscopic imaging system based on compressive sensing theory using spectral-coded illumination is presented in this paper. The spectral modulator, which consists of a liquid crystal variable retarder and two polarizers, is employed to encode the spectral transmittance of the incident light by adjusting the voltage of the liquid crystal variable retarder. The paper also provides the imaging model and reconstruction method, and the feasibility is confirmed through computer simulations and laboratory experiments. The imaging system combines traditional microscopy with spectrally encoded illumination and offers an alternative approach for designing a low-cost and compact hyperspectral microscope.
引用
收藏
页数:7
相关论文
共 37 条
[1]   Sparse Recovery of Hyperspectral Signal from Natural RGB Images [J].
Arad, Boaz ;
Ben-Shahar, Ohad .
COMPUTER VISION - ECCV 2016, PT VII, 2016, 9911 :19-34
[2]   Compressive Coded Aperture Spectral Imaging [J].
Arce, Gonzalo R. ;
Brady, David J. ;
Carin, Lawrence ;
Arguello, Henry ;
Kittle, David S. .
IEEE SIGNAL PROCESSING MAGAZINE, 2014, 31 (01) :105-115
[3]   Miniature Compressive Ultra-spectral Imaging System Utilizing a Single Liquid Crystal Phase Retarder [J].
August, Isaac ;
Oiknine, Yaniv ;
AbuLeil, Marwan ;
Abdulhalim, Ibrahim ;
Stern, Adrian .
SCIENTIFIC REPORTS, 2016, 6
[4]   Multimodal snapshot spectral imaging for oral cancer diagnostics: a pilot study [J].
Bedard, Noah ;
Schwarz, Richard A. ;
Hu, Aaron ;
Bhattar, Vijayashree ;
Howe, Jana ;
Williams, Michelle D. ;
Gillenwater, Ann M. ;
Richards-Kortum, Rebecca ;
Tkaczyk, Tomasz S. .
BIOMEDICAL OPTICS EXPRESS, 2013, 4 (06) :938-949
[5]   A new TwIST: Two-step iterative shrinkage/thresholding algorithms for image restoration [J].
Bioucas-Dias, Jose M. ;
Figueiredo, Mario A. T. .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2007, 16 (12) :2992-3004
[6]  
Candès EJ, 2008, IEEE SIGNAL PROC MAG, V25, P21, DOI 10.1109/MSP.2007.914731
[7]   Extending immunofluorescence detection limits in whole paraffin-embedded formalin fixed tissues using hyperspectral confocal fluorescence imaging [J].
Constantinou, P. ;
Dacosta, R. S. ;
Wilson, B. C. .
JOURNAL OF MICROSCOPY, 2009, 234 (02) :137-146
[8]  
Daukantas P., 2020, Opt. Photonics News, V31, P32
[9]   Multi-spectral imaging and linear unmixing add a whole new dimension to laser scanning fluorescence microscopy [J].
Dickinson, ME ;
Bearman, G ;
Tille, S ;
Lansford, R ;
Fraser, SE .
BIOTECHNIQUES, 2001, 31 (06) :1272-+
[10]   Compressed sensing [J].
Donoho, DL .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (04) :1289-1306