Abstract

We are using Extended Cross-Correlation (XCC) to identify which chemicals are present in breast tissue and are correlated with precancerous changes. XCC is a pattern recognition technique that was recently developed to enable spectroscopists to identify peaks corresponding to the same chemical in a mixture of chemicals. It is especially suited for extracting those chemicals that are present in a mixture when the signals are both complex and initially unknown. Thus, this technique will enable us to characterize the different chemicals that are normally found in breast tissue. Once we know which chemicals are present, we can then correlate chemical concentrations with pathology. Finally, with this knowledge we can then develop a suitable algorithm for diagnosing breast cancer based on Raman spectra.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR002594-14
Application #
6121230
Study Section
Project Start
1999-06-01
Project End
2000-05-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
14
Fiscal Year
1999
Total Cost
Indirect Cost

  Institution

Name
Massachusetts Institute of Technology
Department
Type
DUNS #
City
Cambridge
State
MA
Country
United States
Zip Code
02139

  Publications

Shih, Wei-Chuan; Bechtel, Kate L; Rebec, Mihailo V (2015) Noninvasive glucose sensing by transcutaneous Raman spectroscopy. J Biomed Opt 20:051036
Lau, Condon; Mirkovic, Jelena; Yu, Chung-Chieh et al. (2013) Early detection of high-grade squamous intraepithelial lesions in the cervix with quantitative spectroscopic imaging. J Biomed Opt 18:76013
Soares, Jaqueline S; Barman, Ishan; Dingari, Narahara Chari et al. (2013) Diagnostic power of diffuse reflectance spectroscopy for targeted detection of breast lesions with microcalcifications. Proc Natl Acad Sci U S A 110:471-6
Dudzik, Jonathan; Chang, Wen-Chi; Kannan, A M et al. (2013) Cross-linked glucose oxidase clusters for biofuel cell anode catalysts. Biofabrication 5:035009
Sathyavathi, R; Dingari, Narahara Chari; Barman, Ishan et al. (2013) Raman spectroscopy provides a powerful, rapid diagnostic tool for the detection of tuberculous meningitis in ex vivo cerebrospinal fluid samples. J Biophotonics 6:567-72
Dingari, Narahara Chari; Barman, Ishan; Saha, Anushree et al. (2013) Development and comparative assessment of Raman spectroscopic classification algorithms for lesion discrimination in stereotactic breast biopsies with microcalcifications. J Biophotonics 6:371-81
Cooper, Kimberly L; Oh, Seungeun; Sung, Yongjin et al. (2013) Multiple phases of chondrocyte enlargement underlie differences in skeletal proportions. Nature 495:375-8
Sung, Yongjin; Tzur, Amit; Oh, Seungeun et al. (2013) Size homeostasis in adherent cells studied by synthetic phase microscopy. Proc Natl Acad Sci U S A 110:16687-92
Byun, HeeSu; Hillman, Timothy R; Higgins, John M et al. (2012) Optical measurement of biomechanical properties of individual erythrocytes from a sickle cell patient. Acta Biomater 8:4130-8
Dingari, Narahara Chari; Barman, Ishan; Myakalwar, Ashwin Kumar et al. (2012) Incorporation of support vector machines in the LIBS toolbox for sensitive and robust classification amidst unexpected sample and system variability. Anal Chem 84:2686-94

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