Comparison of Gaussian and Poisson noise models in a hybrid reference spectrum and principal component analysis algorithm for Raman spectroscopy

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8590, Issue , 2013, Pages

  Van De Sompel, Dominique ^a   Garai, Ellis ^a   Zavaleta, Cristina ^a   Gambhir, Sanjiv S ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Bayesian probability; deconvolution; principal component analysis; Raman spectroscopy; unmixing

Indexed keywords

BAYESIAN PROBABILITIES; GAUSSIAN MEASUREMENTS; GAUSSIAN NOISE MODEL; MATHEMATICAL FRAMEWORKS; NANOPARTICLE CONCENTRATIONS; ORDINARY LEAST SQUARES; POISSON NOISE MODELS; UNMIXING;

ALGORITHMS; DECONVOLUTION; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); GOLD; LEAST SQUARES APPROXIMATIONS; MOLECULES; OPTICAL RESOLVING POWER; OPTIMIZATION; POISSON DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; QUARTZ; RAMAN SPECTROSCOPY; TISSUE;

COMPUTER SIMULATION;

EID: 84878082614     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2005455     Document Type: Conference Paper

References (18)

1. Zavaleta, C., Smith, B., Walton, I., Doering, W., Davis, G., Shojaei, B., Natan, M., and Gambhir, S., "Multiplexed imaging of surface enhanced Raman scattering nanotags in living mice using noninvasive Raman spectroscopy," Proceedings of the National Academy of Sciences 106(32), 13511 (2009).
2. Keren, S., Zavaleta, C., Cheng, Z., de La Zerda, A., Gheysens, O., and Gambhir, S., "Noninvasive molecular imaging of small living subjects using raman spectroscopy," Proceedings of the National Academy of Sciences 105(15), 5844 (2008).
3. Fortina, P., Kricka, L., Surrey, S., and Grodzinski, P., "Nanobiotechnology: the promise and reality of new approaches to molecular recognition," TRENDS in Biotechnology 23(4), 168-173 (2005).
4. Zavaleta, C., Kircher, M., and Gambhir, S., "Raman's effect on molecular imaging," Journal of Nuclear Medicine 52(12), 1839-1844 (2011).
5. Lutz, B., Dentinger, C., Nguyen, L., Sun, L., Zhang, J., Allen, A., Chan, S., and Knudsen, B., "Spectral analysis of multiplex Raman probe signatures," ACS nano 2(11), 2306-2314 (2008).
6. Lieber, C. and Mahadevan-Jansen, A., "Automated method for subtraction of fluorescence from biological raman spectra," Applied Spectroscopy 57(11), 1363-1367 (2003).
7. Zhao, J., Lui, H., McLean, D., and Zeng, H., "Automated autofluorescence background subtraction algorithm for biomedical raman spectroscopy," Applied spectroscopy 61(11), 1225-1232 (2007).
8. Zhang, Z., Chen, S., and Liang, Y., "Baseline correction using adaptive iteratively reweighted penalized least squares," Analyst 135(5), 1138-1146 (2010).
9. Kode, K., Shachaf, C., Elchuri, S., Nolan, G., and Paik, D., "Raman labeled nanoparticles: characterization of variability and improved method for unmixing," Journal of Raman Spectroscopy 43(7), 895-905 (2012).
10. Faber, K. and Kowalski, B., "Propagation of measurement errors for the validation of predictions obtained by principal component regression and partial least squares," Journal of chemometrics 11(3), 181-238 (1997).
11. Geladi, P. and Kowalski, B., "Partial least-squares regression: a tutorial," Analytica chimica acta 185, 1-17 (1986).
12. Haaland, D. and Thomas, E., "Partial least-squares methods for spectral analyses. 1. relation to other quantitative calibration methods and the extraction of qualitative information," Analytical Chemistry 60(11), 1193-1202 (1988).
13. Berger, A., Koo, T., Itzkan, I., and Feld, M., "An enhanced algorithm for linear multivariate calibration," Analytical chemistry 70(3), 623-627 (1998).
14. Van de Sompel, D., Garai, E., Zavaleta, C., and Gambhir, S., "A hybrid least squares and principal component analysis algorithm for raman spectroscopy," PLoS ONE 7(6), e38850 (2012).
15. Eggermont, P. and LaRiccia, V., [Maximum Penalized Likelihood Estimation: Regression ], vol. 2, Springer Verlag (2009).
16. Mulvaney, S., Musick, M., Keating, C., and Natan, M., "Glass-coated, analyte-tagged nanoparticles: a new tagging system based on detection with surface-enhanced raman scattering," Langmuir 19(11), 4784-4790 (2003).
17. Bello, J., Stokes, D., and Vo-Dinh, T., "Titanium dioxide based substrate for optical monitors in surface-enhanced raman scattering analysis," Analytical Chemistry 61(15), 1779-1783 (1989).
18. Kircher, M., de la Zerda, A., Jokerst, J., Zavaleta, C., Kempen, P., Mittra, E., Pitter, K., Huang, R., Campos, C., Habte, F., et al., "A brain tumor molecular imaging strategy using a new triple-modality mri-photoacoustic-raman nanoparticle," Nature Medicine 18(5), 829-834 (2012).