[1] [1] C. Vonesch, F. Aguet, J. L. Vonesch et al.. The colored revolution of bioimaging［J］. IEEE Signal Processing Magazine, 2006, 23(3): 20～31

[2] [2] Li Jing, Zeng Hongjuan, Pang Xiaofeng. Study of autofluorescence spectrum between hepatic carcinoma cell and hepatic cell［J］. Acta Optica Sinica, 2009, 29(8): 2261～2263

[3] [3] Lin Xiaogang, Pan Yingjun, Guo Yongcai. Study on autofluorescence spectral feature for cancer cell in different stages of cell cycle［J］. Acta Optica Sinica, 2009, 29(5): 1328～1331

[4] [4] J. R. Mansfield, K. W. Gossage, C. C. Hoyt et al.. Autofluorescence removal, multiplexing, and automated analysis methods for in-vivo fluorescence imaging［J］. J. Biomed. Opt., 2005, 10(4): 41207

[5] [5] T. Zimmermann. Spectral imaging and linear unmixing in light microscopy［C］. Adv. Biochem. Engng. Biotechnol, 2005, 95: 245～265

[6] [6] J. R. Mansfield, C. Hoyt, R. M. Levenson. Visualization of microscopy based spectral imaging data from multi-label tissue sections［J］. Current Protocols in Molecular Biology, 2008, 84: 14.19.1~14.19.15

[7] [7] F. Nadrigny, I. Rivals, P. G. Hirrlinger et al.. Detecting fluorescent protein expression and co-localisation on single secretory vesicles with linear spectral unmixing［J］. Eur. Biophys. J. Biophy., 2006, 35(6): 533～547

[8] [8] A. Plaza, P. Martinez, P. Perez et al.. A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data［J］. IEEE T. Geosci. Remote, 2004, 42(3): 650～663

[9] [9] J. M. P. Nascimento, J. M. B. Dias. Vertex component analysis: A fast algorithm to unmix hyperspectral data［J］. IEEE T. Geosci. Remote, 2005, 43(4): 898～910

[10] [10] F. C. Sa′nchez, J. Toft, B. vanden Bogaert et al.. Orthogonal projection approach applied to peak purity assessment［J］. Anal. Chem., 1996, 68(1): 79～85

[11] [11] A. de Juan, R. Tauler. Multivariate curve resolution (MCR) from 2000: Progress in concepts and applications［J］. Crit. Rev. in Anal. Chem., 2006, 36(3): 163～176

[12] [12] M. H. Van Benthem, M. R. Keenan, D. M. Haaland. Application of equality constraints on variables during alternating least squares procedures［J］. J. Chemometrics, 2002, 16(12): 612～622

[13] [13] R. Bro, S. Dejong. A fast non-negativity-constrained least squares algorithm［J］. J. Chemometr., 1997, 11(5): 393～401

[14] [14] D. C. Heinz, C. I. Chang. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery［J］. IEEE T. Geosci. Remote, 2001, 39(3): 529～545

[15] [15] R. M. Levenson, D. T. Lynch, H. Kobayashi et al.. Multiplexing with multispectral imaging: From mice to microscopy［J］. Ilar J., 2008, 49(1): 78～88

[16] [16] N. Raksuntorn. Unsupervised Spectral Mixture Analysis for Hyperspectral Imagery［D］. Mississippi State University, 2009