Abstract

When analyte concentrations are predicted from spectral data, the mean prediction error decreases as the signal-to-noise of the spectrum increases. However, medical situations often place an upper limit on the amount of time that a clinical measurement can take. The time constraint, in turn, limits the signal-to-noise ratio that can be achieved. Therefore, when we design calibrations for analyte prediction, it is important to study how the prediction accuracy changes as a function of collection time. Our preliminary investigations, using our data on blood serum, have indicated that we can decrease the measurement time for unknown samples to as little as 30 or 60 seconds while preserving a clinical level of prediction accuracy.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR002594-14
Application #
6121236
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
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
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
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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