Rapid ratiometric determination of hemoglobin concentration using UV-VIS diffuse reflectance at isosbestic wavelengths.
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We developed a ratiometric method capable of estimating total hemoglobin concentration from optically measured diffuse reflectance spectra. The three isosbestic wavelength ratio pairs that best correlated to total hemoglobin concentration independent of saturation and scattering were 545/390, 452/390, and 529/390 nm. These wavelength pairs were selected using forward Monte Carlo simulations which were used to extract hemoglobin concentration from experimental phantom measurements. Linear regression coefficients from the simulated data were directly applied to the phantom data, by calibrating for instrument throughput using a single phantom. Phantoms with variable scattering and hemoglobin saturation were tested with two different instruments, and the average percent errors between the expected and ratiometrically-extracted hemoglobin concentration were as low as 6.3%. A correlation of r = 0.88 between hemoglobin concentration extracted using the 529/390 nm isosbestic ratio and a scalable inverse Monte Carlo model was achieved for in vivo dysplastic cervical measurements (hemoglobin concentrations have been shown to be diagnostic for the detection of cervical pre-cancer by our group). These results indicate that use of such a simple ratiometric method has the potential to be used in clinical applications where tissue hemoglobin concentrations need to be rapidly quantified in vivo.
Monte Carlo Method
Optics and Photonics
Reproducibility of Results
Uterine Cervical Neoplasms
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Robert W. Carr, Jr., Professor of Biomedical Engineering
Dr. Ramanujam is the Robert W. Carr Professor of Biomedical Engineering, and also a faculty member in the Global Health Institute and Dept. Pharmacology and Cell Biology at Duke University. She is an innovator, educator and entrepreneur and her mission is to develop and leverage technology to have the most wide reaching impact in women’s health. She directs the center for Global Women’s Health Technologies (GWHT), a partnership between the Pratt School of Engineering and the Duke