Multiplexed analysis of proteins in tissue using multispectral fluorescence imaging

IEEE Transactions on Medical Imaging

Volumn 29, Issue 8, 2010, Pages 1457-1462

  Barash, Eugene ^a   Dinn, Sean ^a   Sevinsky, Christopher ^a   Ginty, Fiona ^a  

^a GENERAL ELECTRIC COMPANY   (United States)

Author keywords

Immunofluorescence; multispectral imaging; protein multiplexes and autofluorescence

Indexed keywords

AUTOFLUORESCENCE; CELLULAR COMPARTMENTS; COLOCALIZATION; EMISSION SIGNAL; FLUORESCENCE IMAGING; FLUORESCENT DYES; FORMALIN; IMMUNOFLUORESCENCE; MULTI-SPECTRAL; MULTI-SPECTRAL ANALYSIS; MULTIPLEXED ANALYSIS; MULTISPECTRAL IMAGING; NEW APPLICATIONS; PARALLEL IMAGING; SINGLE CHANNELS; SPECTRAL PROPERTIES; SUB-CELLULAR; TARGETS OF INTEREST; UNMIXING; UPPER LIMITS;

FLUORESCENCE; FORMALDEHYDE; MULTIPLEXING; PARAFFIN WAXES; PARAFFINS; TISSUE;

PROTEINS;

BIOLOGICAL MARKER; CARBOCYANINE; CYANINE DYE 3; CYCLIC AMP RESPONSIVE ELEMENT BINDING PROTEIN; PROTEIN;

ALGORITHM; ANIMAL; ARTICLE; BREAST; BREAST TUMOR; CHEMISTRY; FEMALE; FLUORESCENCE MICROSCOPY; HUMAN; IMAGE PROCESSING; LUNG; MALE; METABOLISM; METHODOLOGY; MOUSE; MULTIPHOTON MICROSCOPY; PROSTATE; SIGNAL PROCESSING; TISSUE MICROARRAY;

ALGORITHMS; ANIMALS; BIOLOGICAL MARKERS; BREAST; BREAST NEOPLASMS; CARBOCYANINES; CYCLIC AMP RESPONSE ELEMENT-BINDING PROTEIN; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; MALE; MICE; MICROSCOPY, FLUORESCENCE; MICROSCOPY, FLUORESCENCE, MULTIPHOTON; PROSTATE; PROTEINS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TISSUE ARRAY ANALYSIS;

EID: 77955335482     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2045005     Document Type: Article

References (13)

1. C.Wahlby, F.Erlandsson, E.Bengtsson, andA.Zetterberg, "Sequential immunofluorescence staining and image analysis for detection of large numbers of antigens in individual cell nuclei, " Cytometry, vol.47, pp. 32-41, 2002.
2. M. H. Deininger and R. Meyermann, "Multiple epitope labeling by the exclusive use of alkaline phosphatase conjugates in immunohisto-chemistry, " Histochem. Cell Biol., vol.110, no. (4), pp. 425-430, Sep. 1998.
3. R. Levenson, A. Fornari, and M. Loda, "Multispectral imaging and pathology: Seeing and doing more, " Expert Opin. Med. Diagn., vol.2, no.9, pp. 1067-1081, 2008.
4. R.Camp, G.Chung, and D.Rimm, "Automated subcellular localization and quantification of protein expression in tissue microarrays, " Nature Med., vol.8, no.11, Nov. 2002.
5. "Sequential analysis of biological samples, " U.S. Patent 7 629 125, Dec. 2009.
6. A. Can, H. Tao, H. Cline, and P. R. Mendonca, "Method and apparatus for removing tissue autofluorescence, " U.S. Patent Application 20090245611, Oct. 2009.
7. A. Can, M. Bello, H. Cline, X. Tao, P. Mendonca, and M. Gerdes, "A unified segmentation method for detecting subcellular compartments in immunofluorescently labeled tissue images, " in MIAAB09 Conf., Sep. 2009 [Online]. Available: http://www.miaab.org/miaab-2009-pa-pers/miaab-2009-01-can. pdf
8. M. Teverovskiy et al., "Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging, " in Proc. 5th IEEE Int. Symp. Biomed. Imag.: From Nano to Macro, 2008, pp. 300-303.
9. V. P. Pauca, J. Piper, and R. Plemmons, "Nonnegative matrix factorization for spectral data analysis, " in Linear Algebra Appl. 416, 2006, pp. 29-47. (Pubitemid 43737212)
10. E. Barash et al., "Absorption and Emission Red Shift in Stained Cell and Tissue Samples, " in American Biotechnology Laboratory. Shelton, CT: ISC, May 2008, vol.26, pp. 12-14.
11. V. Zinchuk, O. Zinchuk, and T. Okada, "Quantitative colocalization analysis of multicolor confocal immunofluorescence microscopy images: Pushing pixels to explore biological phenomena, " Acta His-tochem. Cytochem., vol.40, no.4, pp. 101-111, 2007.
12. D. Lee and H. Seung, "Algorithms for non-negative matrix factorization, " Adv. Neural Inf. Process. Syst., pp. 556-562, 2001.
13. N. Keshava, J. Kerekes, D. Manolakis, and G. Shaw, "An algorithm taxonomy for hyperspectral unmixing, " in Proc. SPIE Algorithms Mul-tispectral, Hyperspectral, Ultraspectral Imagery VI, S. Shen and M. Descour, Eds., 2000, vol.4049.