Spectral Imaging Microscopy Literature References
Spectral imaging and linear unmixing is a powerful tool that is ideal for separating the signals in two or more fluorophores having closely overlapping emission spectra. The technique has proven useful for removing unwanted autofluorescence, enhancing co-localization analysis in confocal microscopy, and for unraveling intermolecular FRET interactions between fluorescent proteins and synthetic fluorophores. Spectral imaging can be implemented in widefield microscopy, but is more commonly applied in specialized confocal microscopes equipped with detectors designed to maximize signal collection.
Recommended Literature
- Zimmermann T. Spectral imaging and linear unmixing in light microscopy. Advances in Biochemical Engineering/Biotechnology 95: 245-265 (2005).
- Garini, Y., Young, I. T. and McNamara, G. Spectral imaging: principles and applications.Cytometry 69A 735-747 (2006).
- Haraguchi, T., Ding, D. Q., Yamamoto, A., Kaneda, T., Koujin, T. and Hiraoka, Y. Multiple-color fluorescence imaging of chromosomes and microtubules in living cells. Cell Structure and Function 24: 291-298 (1999).
- Zimmermann, T., Rietdorf, J. and Pepperkok, R. Spectral imaging and its applications in live cell microscopy. FEBS Letters 546: 87-92 (2003).
- Lerner, J. M. Imaging spectrometer fundamentals for researchers in the biosciences - a tutorial. Cytometry 69A: 712-734 (2006).
- Dickinson, M. E., Simbuerger, E., Zimmerman, B., Waters, C. W. and Fraser, S. E. Multiphoton excitation spectra in biological samples. Journal of Biomedical Optics 8: 329-338 (2003).
- Zhou L. and El-Deiry, W. S. Multispectral fluorescence imaging. Journal of Nuclear Medicine50: 1563-1566 (2009).
- Lansford, R., Bearman, G. and Fraser, S. E. Resolution of multiple green fluorescent protein color variants and dyes using two-photon microscopy and imaging spectroscopy. Journal of Biomedical Optics 6: 311-318 (2001).
- Tholouli, E., Sweeney, E., Barrow, E., Clay, V., Hoyland, J. A. and Byers, R. J. Quantum dots light up pathology. Journal of Pathology 216: 275-285 (2008).
- Larson, J. M. The Nikon C1si combines high spectral resolution, high sensitivity, and high acquisition speed. Cytometry 69A: 825-834 (2006).
- Lerner, J. M. and Zucker, R. M. Calibration and validation of confocal spectral imaging systems. Cytometry 62A: 8-34 (2004).
Additional Literature Sources
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- Bach, H., Renn, A. and Wild, U. P. Spectral imaging of single molecules. Single Molecules 1:73-77 (2000).
- Barber, P. R., Vojnovic, B., Atkin, G., Daley, F. M., Everett, S. A., Wilson, G. D. and Gilbey, J. D. Applications of cost-effective spectral imaging microscopy in cancer research. Journal of physics D: Applied Physics 36: 1729-1738 (2003).
- Bautista, P. A., Abe, T., Yamaguchi, M., Yagi, Y. and Ohyama, N. Digital staining of unstained pathological tissue samples through spectral transmittance classification. Optical Review12: 7-14 (2005).
- Berg, R. H. Evaluation of spectral imaging for plant cell analysis. Journal of Microscopy214: 174-181 (2004).
- Bezanilla, M., Pan, A. and Quatrano, R. S. RNA interference in the moss Physcomitrella patens. Plant Physiology 133: 470-474 (2003).
- Bird, D. K., Eliceiri, K. W. Fan, C. H. and White, J. G. Simultaneous two-photon spectral and lifetime fluorescence microscopy. Applied Optics 43: 5173-5182. (2004).
- Blum, C., Cesa, Y., Escalante, M. and Subramaniam, V. Multimode microscopy: spectral and lifetime imaging. Journal of the Royal Society Interface 6: 35-43 (2008).
- Chen, B., Yang, J. J. and Wang, M. R. Dynamic reconfigurable spectral imaging microscopy.Proceedings of SPIE 7182: 71821D (2009).
- Chorvat, D., Kirchnerova, J., Cagalinec, M., Smolka, J., Mateasik, A. and Chorvatova, A.Spectral unmixing of flavin autofluorescence components in cardiac myocytes.Biophysical Journal 89: 55-57 (2005).
- Colarusso, P., Kidder, L. H., Levin, I. W., Fraser, J. C., Arens, J. F. and Lewis, E. N. Infrared Spectroscopic Imaging. From planetary to cellular systems. Applied Spectroscopy 52:106A-120A (1998).
- Constantinou, P., Wilson, B. C. and Damaskinos, S. Hyperspectral unmixing for removing autofluorescence from paraffin-embedded, formalin-fixed tissue sections. Proceedings of SPIE 5969: 59692E (2005).
- Curran, P. J. Imaging spectrometry. Progress in Physical Geography 18: 247-266 (1994).
- Dickinson, M. E., Waters, C. W., Bearman, G., Wolleschensky, R., Tille, S. and Fraser, S. E. Sensitive imaging of spectrally overlapping fluorochromes. Proceedings of SPIE 4620:123 (2002).
- Ford, B. K., Volin, C. E., Murphy, S. M., Lynch, R. M. and Descour, M. R. Computed tomography-based spectral imaging for fluorescence microscopy. Biophysical Journal 80:986-993 (2001).
- Frank, J. H., Elder, A. D., Swartling, J., Venkitaraman, A. R., Jeyasekharan, A. D. and Kaminski, C. F. A white light confocal microscope for spectrally resolved multidimensional imaging.Journal of Microscopy 227: 203-215 (2007).
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- Gat, N. Imaging spectroscopy using tunable filters: a review. Proceedings of SPIE 4056:50-64 (2000).
- Goddard, G., Martin, J. C., Naivar, M., Goodwin, P. M., Graves, S. W., Habbersett, R., Nolan, J. and Jett, H. H. Single particle high resolution spectral analysis flow cytometry. Cytometry69A: 842-851 (2006).
- Gupta, N. Biosensors technologies: Acousto-optic tunable filter-based hyperspectral and polarization imagers for fluorescence and spectroscopic imaging. Methods in Molecular Biology 503: 293-305 (2009).
- Gyurcsanyi, R. E. and Lindner, E. Multispectral imaging of ion transport in neutral carrier-based cation-selective membranes. Cytometry 69A: 792-804 (2006).
- Hanley, Q. S., Murray, P. I. and Forde, T. S. Microspectroscopic fluorescence analysis with prism-based imaging spectrometers: Review and current studies. Cytometry 69A: 759-766 (2006).
- Hanley, Q. S., Verveer, P. J., Arndt-Jovin, D. J. and Jovin, T. M. Three-dimensional spectral imaging by Hadamard transform spectroscopy in a programmable array microscope.Journal of Microscopy 197: 5-14 (2000).
- Harris, A. T. Spectral mapping tools from the earth sciences applied to spectral microscopy data. Cytometry 69A: 872-879 (2006).
- Henery, S., George, T., Hall, B., Basiji, D., Ortyn, W. and Morrissey, P. Quantitative image based apoptotic index measurement using multispectral imaging flow cytometry: A comparison with standard photometric methods. Apoptosis 13: 1054-1063 (2008).
- Kasili, P. M. and Vo-Dinh, T. Hyperspectral imaging system using acousto-optic tunable filter for flow cytometry applications. Cytometry 69A: 835-841 (2006).
- Leavesley, S., Jiang, Y., Patsekin, V., Rajwa, B. and Robinson, J. P. An excitation wavelength-scanning spectral imaging system for preclinical imaging. Review of Scientific Instruments 79: 023707 (2008).
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- Matsuoka, H., Kosai, Y., Saito, M., Takeyama, N. and Suto, H. Single-cell viability assessment with a novel spectro-imaging system. Journal of Biotechnology 94: 299-308 (2002).
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- McNamara, G., Gupta, A., Reynaert, J., Coates, T. D. and Boswell, C. Spectral Imaging Microscopy web sites and data. Cytometry 69A: 863-871 (2006).
- Mooney, J. M., Vickers, V. E., An, M. and Brodzik, A. K. High-throughput hyperspectral infrared camera. Optical Society of America 14: 2951-2961 (1997).
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- Pautke, C., Vogt, S., Tischer, T., Wexel, G., Deppe, H., Milz, S., Schieker, M. and Kolk, A.Polychrome labeling of bone with seven different fluorochromes: enhancing fluorochrome discrimination by spectral image analysis. Bone 37: 441-445 (2005).
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