Autocorrelation optical coherence tomography for glucose quantification in blood

Ullah, Hafeez; Gilanie, Ghulam; Hussain, Fayyaz; Ahmad, Ejaz

doi:10.1088/1612-2011/12/12/125602

Cited by 10 publications

(8 citation statements)

References 17 publications

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“…6 An extremely high resolution enables new applications in the blood rheology including study of CFL and blood flow properties at the level of a single cell. Potential applications in blood monitoring also include measuring hemoglobin 7 and glucose 8 concentrations. The microflows have been extensively studied in complex vessels by Doppler OCT. [9][10][11][12][13] The spatial distribution of RBCs in microchannels has been previously evaluated with OCT. 14,15 Due to an insufficient axial resolution of the used OCT systems, the thickness of a CFL has not been measured previously.…”

Section: Introductionmentioning

confidence: 99%

Quantification of cell-free layer thickness and cell distribution of blood by optical coherence tomography

2016

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Abstract. A high-speed optical coherence tomography (OCT) with 1-μm axial resolution was applied to assess the thickness of a cell-free layer (CFL) and a spatial distribution of red blood cells (RBC) next to the microchannel wall. The experiments were performed in vitro in a plain glass microchannel with a width of 2 mm and height of 0.2 mm. RBCs were suspended in phosphate buffered saline solution at the hematocrit level of 45%. Flow rates of 0.1 to 0.5 ml∕h were used to compensate gravity induced CFL. The results indicate that OCT can be efficiently used for the quantification of CFL thickness and spatial distribution of RBCs in microcirculatory blood flow.

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Section: Introductionmentioning

confidence: 99%

Quantification of cell-free layer thickness and cell distribution of blood by optical coherence tomography

2016

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“…Furthermore, the average size and size distribution of RBCs are different between each individual. Consequently, it is difficult to predict the glucose concentration with accuracy without a RBC reference size [136][137][138].…”

Section: Tissue Heterogeneity and Scattering Of Light By Tissuementioning

confidence: 99%

Review of Non-Invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone

Shokrekhodaei

Quinones

2020

Sensors

140

109

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Annual deaths in the U.S. attributed to diabetes are expected to increase from 280,210 in 2015 to 385,840 in 2030. The increase in the number of people affected by diabetes has made it one of the major public health challenges around the world. Better management of diabetes has the potential to decrease yearly medical costs and deaths associated with the disease. Non-invasive methods are in high demand to take the place of the traditional finger prick method as they can facilitate continuous glucose monitoring. Research groups have been trying for decades to develop functional commercial non-invasive glucose measurement devices. The challenges associated with non-invasive glucose monitoring are the many factors that contribute to inaccurate readings. We identify and address the experimental and physiological challenges and provide recommendations to pave the way for a systematic pathway to a solution. We have reviewed and categorized non-invasive glucose measurement methods based on: (1) the intrinsic properties of glucose, (2) blood/tissue properties and (3) breath acetone analysis. This approach highlights potential critical commonalities among the challenges that act as barriers to future progress. The focus here is on the pertinent physiological aspects, remaining challenges, recent advancements and the sensors that have reached acceptable clinical accuracy.

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“…Over the past few decades, many companies and universities have and are attempting to quantify glucose using various noninvasive optical methods, which include, but are not limited to Raman spectroscopy, 6,7 near-infrared spectroscopy, 8,9 optical coherence tomography, [10][11][12] photoacoustic spectroscopy, 13 fluorescence, [14][15][16] and optical polarimetry. 17,18 Each of these approaches has their strengths and drawbacks as covered not only in the above articles but also in several good review articles on the topic 4,[19][20][21][22] and so we will not go into detail here on each of them but rather focus briefly on the polarimetric approach.…”

Section: Introductionmentioning

confidence: 99%

Dual-modulation, dual-wavelength, optical polarimetry system for glucose monitoring

Pirnstill

Coté

2016

J. Biomed. Opt

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A dual modulation optical polarimetry system utilizing both laser intensity and polarization modulation was designed, built, and tested. The system was designed to reduce complexity and enhance the speed in order to facilitate the reduction of motion-induced time-varying birefringence, which is one of the major limitations to the realization of polarimetry for glucose monitoring in the eye. The high-speed less complex technique was tested using in vitro phantom studies with and without motion artifact introduced. The glucose concentration ranged from 0 to 600 mg/dl and the glucose measurements demonstrated a standard error of prediction to within 8.1 mg/dl without motion and to within 13.9 mg/dl with motion. Our feedback control systems took less than 10 ms to reach stabilization, which is adequately fast to eliminate the effect of time-varying birefringence. The results indicate that this new optical polarimetric approach has improved the speed and reduced the complexity, showing the potential for it to be used for noninvasive glucose measurements.

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Autocorrelation optical coherence tomography for glucose quantification in blood

Cited by 10 publications

References 17 publications

Quantification of cell-free layer thickness and cell distribution of blood by optical coherence tomography

Quantification of cell-free layer thickness and cell distribution of blood by optical coherence tomography

Review of Non-Invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone

Dual-modulation, dual-wavelength, optical polarimetry system for glucose monitoring

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