Abstract:We proposed a non-invasive, contact-less novel technique for quantifying fluorescent AGE deposits in skin tissue using a multi-spectral imaging camera setup (MSI) during ultraviolet (UV) exposure. Imaging involved applying a region-of-interest mask, avoiding specular reflections and a simple calibration. Results of a study conducted on 16 subjects with skin types ranging from fair to deeply pigmented skin, showed that AGE measured with MSI in forearm skin was significantly correlated with the AGE reference met… Show more
“…The method was evaluated on data from SRD'15. The results from 16 subjects with skin types ranging from fair to deeply pigmented showed that AGE measured using MSI in forearm skin was significantly correlated with the AGE reference method on forearm skin [39] [38]. These results support the use of the technique for contactless measurement of the AGE content in either facial or forearm skin tissue over time.…”
Section: Multispectral Measurementsmentioning
confidence: 55%
“…The technique collects MSI images during UV exposure from a 365 nm LED (Smart Vision Lights). The method is presented in detail elsewhere [38]. In summary, the AGE level was assessed as the ratio of the fluorescence intensity (475 nm camera) to the illumination intensity (360 nm camera).…”
For more information about UCLan's research in this area go to http://www.uclan.ac.uk/researchgroups/ and search for . For information about Research generally at UCLan please go to http://www.uclan.ac.uk/research/ All outputs in CLoK are protected by Intellectual Property Rights law, including CLoK Central Lancashire online Knowledge www.clok.uclan.ac.uk
“…The method was evaluated on data from SRD'15. The results from 16 subjects with skin types ranging from fair to deeply pigmented showed that AGE measured using MSI in forearm skin was significantly correlated with the AGE reference method on forearm skin [39] [38]. These results support the use of the technique for contactless measurement of the AGE content in either facial or forearm skin tissue over time.…”
Section: Multispectral Measurementsmentioning
confidence: 55%
“…The technique collects MSI images during UV exposure from a 365 nm LED (Smart Vision Lights). The method is presented in detail elsewhere [38]. In summary, the AGE level was assessed as the ratio of the fluorescence intensity (475 nm camera) to the illumination intensity (360 nm camera).…”
For more information about UCLan's research in this area go to http://www.uclan.ac.uk/researchgroups/ and search for . For information about Research generally at UCLan please go to http://www.uclan.ac.uk/research/ All outputs in CLoK are protected by Intellectual Property Rights law, including CLoK Central Lancashire online Knowledge www.clok.uclan.ac.uk
“…Till date, the LC-MS/MS offers the highest selectivity and sensitivity in AGE detection [70]. But when it comes to simple, cost-effective, point-of-care diagnostics, our method can detect few nanograms of the sample compared to other fluorescence emission-based techniques [71, 72]. The method is highly specific for the AGEs, such that sugars and proteins do not develop any colour as such which are the expected interferences in the clinical samples such as blood or serum for the proposed study (Additional file 1 section 7).…”
Protein glycation is a major biochemical event that takes place in the plasma of diabetic patients due to increased sugar levels. Extensive glycation leads to the formation of advanced glycation end products (AGEs) that is well known for having detrimental effects on diabetic patients. In the current work, we have glycated the physiologically important protein Haemoglobin A0 in vitro to study AGE formation and activity by using them as a template for gold nanoparticle (GNPs) synthesis. It was found that the surface plasmon resonance of synthesised GNPs showed high correlation with the extent of glycation. On fractionation, the glycated Haemoglobin A0 segregated into two distinct population of products, one consisting of proteinaceous, cross-linked larger fragments of Haemoglobin A0 and a second population of non-proteinaceous low molecular weight AGEs. Only low molecular weight AGEs contributed to synthesis of GNPs upon using the fractions as a template, substantiating the principle of proposed GNP-based assay. Owing to its physiological importance, AGEs can be used as a diagnostic means for diabetes and its associated complications. In this study, we have employed the high reactivity of AGEs for the development of a GNP-based novel colorimetric sensor to enable their detection. Our proposed GNP-based sensing could have high clinical significance in detecting diabetes and its associated complexities.Electronic supplementary materialThe online version of this article (10.1186/s11671-018-2812-y) contains supplementary material, which is available to authorized users.
“…Example of a grayscale AGE‐index image of the volar side of the arm detected by a multiphoton fluorescence imager [148]. The colored region indicate the region of interest selected for the AGE‐index calculation.…”
Section: Optical Approaches In Diagnosticsmentioning
The prevalence of diabetes complications is a significant public health problem with a considerable economic cost. Thus, the timely diagnosis of complications and prevention of their development will contribute to increasing the length and quality of patient life, and reducing the economic costs of their treatment. This article aims to review the current state-of-the-art biophotonics technologies used to identify the complications of diabetes mellitus and assess the quality of their treatment. Additionally, these technologies assess the structural and functional properties of biological tissues, and they include capillaroscopy, laser Doppler flowmetry and hyperspectral imaging, laser speckle contrast imaging, diffuse reflectance spectroscopy and imaging, fluorescence spectroscopy and imaging, optical coherence tomography, optoacoustic imaging and confocal microscopy. Recent advances in the field of optical noninvasive diagnosis suggest a wider introduction of biophotonics technologies into clinical practice and, in particular, in diabetes care units.
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