ProRaman: A program to classify Raman spectra

Analyst

Volumn 134, Issue 6, 2009, Pages 1203-1207

  De Paula Júnior, Alderico Rodrigues ^a   Silveira Júnior, Landulfo ^a   Pacheco, Marcos Tadeu Tavares ^a  

^a INSTITUTO DE PESQUISA E DESENVOLVIMENTO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTERY; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATHEROSCLEROSIS; CLASSIFICATION ALGORITHM; EXTRACTION; HISTOPATHOLOGY; HUMAN; NERVE CELL; PERCEPTRON; PRINCIPAL COMPONENT ANALYSIS; RAMAN SPECTROMETRY;

EID: 67149098192     PISSN: 00032654     EISSN: 13645528     Source Type: Journal    
DOI: 10.1039/b821248a     Document Type: Article

References (29)

1. W. Effendi G. H. Lim A. An A novel method for human gender classification using Raman spectroscopy of fingernail clippings Analyst 2008 133 4 493 498
2. N. Stone C. Kendall N. Shepherd P. Crow H. Barr Near-infrared Raman spectroscopy for the classification of epithelial pre-cancers and cancers Br. J. Cancer 2008 98 2 457 465
3. Z. Huang, E. Widjaja, W. Zheng, J. Mo and C. Sheppard, Classification of Raman Spectra of Colonic Tissues using Pattern Recognition Technique, in Biomedical Optics, Technical Digest (CD), Optical Society of America, 2006, paper ME62
4. K. D. Peschke, B. Haasdonk, O. Ronneberger, H. Burkhardt, P. Rösch, M. Harz and J. Popp, Using Transformation Knowledge for the Classification of Raman Spectra of Biological Samples, Proceedings of the 24th IASTED, 2006, vol. 1, pp. 288-293
5. R. Sohn D. Himmelsbach S. Kays NIR-FT/Raman Spectroscopy for Nutritional Classification of Cereal Foods NIR News 2006 17 5 6 7
6. S. K. Teh W. Zheng K. Y. Ho M. Teh K. G. Yeoh Z. Huang Diagnostic potential of near-infrared Raman spectroscopy in the stomach: differentiating dysplasia from normal tissue Biotechnol. Annu. Rev. 2005 11 191 225
7. S. Sigurdsson P. A. Philipsen L. K. Hansen J. Larsen M. Gniadecka H. Wulf Detection of skin cancer by classification of Raman spectra IEEE Trans. Biomed. Eng. 2004 51 10 1784 1793
8. G. Deinum D. Rodriguez T. J. Romer M. Fitzmaurice J. R. Krame M. S. Feld Histological Classification of Raman Spectra of Human Coronary Artery Atherosclerosis Using Principal Component Analysis Appl. Spectrosc. 1999 53 8 938 319
9. W. Young J. K. Hyo C. Hoeil Classification of cultivation area of ginseng radix with NIR andRaman spectroscopy Analyst 1999 124 1223 1226
10. G. Kaiser, A Friendly Guide to Wavelets, Birkhäuser, Boston, 1994
11. S. Mallat, A Wavelet Tour of Signal Processing, Academic Press, San Diego, 1998
12. A. Jensem, A. C. Habor, Ripples in Mathematics: The Discrete Wavelet Transform, Springer, Berlin, Heidelberg, 2001
13. A. V. Oppenheim, R. W. Schafer, Digital Signal Processing, Prentice-Hall, Englewood Cliffs, 1975
14. A. V. Oppenheim, Discrete Time Signal Processing, Prentice-Hall, Upper Saddle River, 2nd edn, 1999
15. C. A. Lieber A. M. Jansen Automated Method for Subtraction of Fluorescence from Biological Raman Spectra Appl. Spectrosc. 2003 57 11 1363
16. C. Chatfield, A. J. Collins, Introduction to Multivariate Statistics, Chapman & Hall, Boca Raton, FL, 1980
17. J. E. Jackson, A User's Guide to Principal Components, John Wiley & Sons, New York, 1991
18. R. Maesschalck D. J. Rimbaud D. L. Massart The Mahalanobis Distance Chemom. Intell. Lab. Syst. 2000 50 1 18
19. E. J. Ciaccio S. M. Dunn M. Akay Biosignal Patter Recognition and Interpretation Systems IEEE Eng. Med. Biol. Mag. 1994 13 129
20. C. M. Bishop, Pattern Recognition and Machine Learning, Springer, New York, 2006
21. S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, Harlow, 2nd edn, 1999
22. E. B. Hanlon R. Manoharan T. W. Koo Prospects for in vivo Raman spectroscopy Phys. Med. Biol. 2000 45 R1 R59
23. S. Sathaiah L. Silveira Jr. C. A. G. Pasqualucci R. A. Zângaro C. Chavantes M. T. T. Pacheco Diagnosis of Human Coronary Artery with Near Infrared Raman Spectroscopy Proceedings of the International Conference on Raman Spectroscopy 1996 XV 1120
24. P. Weinmann M. Jouan N. Q. Dao B. Lacroix C. Groiselle J. P. Bonte G. Luc Quantitative analysis of cholesterol and cholesterol esters in human atherosclerotic plaques using near-infrared Raman spectroscopy Atherosclerosis 1998 140 81
25. G. Deinum D. Rodriguez T. J. Römer M. Fitzmaurice J. R. Kramer M. S. Feld Histological Classification of Raman Spectra of Human Coronary Artery Atherosclerosis using Principal Component Analysis Appl. Spectrosc. 1999 53 938
26. L. Silveira Jr. S. Sathaiah R. A. Zângaro M. T. T. Pacheco M. C. Chavantes C. A. G. Pasqualucci Correlation Between Near-Infrared Raman Spectroscopy and the Histopathological Analysis of Atherosclerosis in Human Coronary Arteries Lasers Surg. Med. 2002 30 4 290
27. L. Silveira Jr. S. Sathaiah R. A. Zângaro M. T. T. Pacheco M. C. Chavantes C. A. Pasqualucci Near-infrared Raman spectroscopy of human coronary arteries: histopathological classification based on Mahalanobis distance J. Clin. Laser Med. Surg. 2003 21 4 203
28. A. R. de Paula Jr. S. Sathaiah Raman Spectroscopy for Dianosis of Atherosclerosis: A Rapid Analysis using Neural Networks Medical Engineering Physics 2005 27 234 244
29. R. Rocha L. Silveira Jr. A. B. Villaverde C. A. Pasqualucci M. S. Costa A. Brugnera Jr. M. T. T. Pacheco Use of Near-Infrared Raman Spectroscopy for Identification of Atherosclerotic Plaques in the Carotid Artery Photomed. Laser Surg. 2007 25 6 482 486