Empirical method for rapid quantification of intrinsic fluorescence signals of key metabolic probes from optical spectra measured on tissue-mimicking turbid medium

Sun, Tengfei; Zhu, Caigang

doi:10.1117/1.jbo.26.4.045001

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…In some technologies such as optical microscopy, a background fluorescence needs to be measured as a starting point (Sun and Zhu 2021). For mass spectrometry and similar methods, process blanks (i.e.…”

Section: The Goals Of Qa/qcmentioning

confidence: 99%

Single cell metabolism: current and future trends

et al. 2022

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Single cell metabolomics is an emerging and rapidly developing field that complements developments in single cell analysis by genomics and proteomics. Major goals include mapping and quantifying the metabolome in sufficient detail to provide useful information about cellular function in highly heterogeneous systems such as tissue, ultimately with spatial resolution at the individual cell level. The chemical diversity and dynamic range of metabolites poses particular challenges for detection, identification and quantification. In this review we discuss both significant technical issues of measurement and interpretation, and progress toward addressing them, with recent examples from diverse biological systems. We provide a framework for further directions aimed at improving workflow and robustness so that such analyses may become commonly applied, especially in combination with metabolic imaging and single cell transcriptomics and proteomics.

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Section: The Goals Of Qa/qcmentioning

confidence: 99%

Single cell metabolism: current and future trends

et al. 2022

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“…Fluorescent approach is applicable in dermatology for determining the biological age of the skin 5 and assessing the activity of oxidation in biological tissues 6 , in ophthalmology 7 for differentiating cataracts and age-related macular degeneration of the retina. There is also notable progress in the development of empirical methods for the fast quantification of key metabolic probes based on fluorescence spectra investigation in a turbid tissue phantom 8 .…”

Section: Introductionmentioning

confidence: 99%

Investigating the sclera fluorescence in order to obtain AGE related diagnostic information

Kornilin

Grishanov

Малов

2022

Optics in Health Care and Biomedical Optics XII

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It is known the disadvantages of assessing the content of advanced glycation end products (AGE) in the human body using autofluorescence of the skin. There are dependence on the skin phototypes, influence of hair, surface macrostructure and compression of biological tissues during investigation on AGE readers. On the other hand, the sclera of the eye is also composed of glycated collagen fibers and is available for in vivo fluorescence level estimation. This approach removes restrictions on the skin phototype and reduces the influence of other drawbacks. This study experimentally approves the opportunity of measuring the fluorescence of the human eye sclera in vivo for assessing the content of AGE in biological tissues. A correlation between the fluorescence of the skin of the hand and the sclera was established. The investigation of autofluorescence of the sclera and skin of the inner side of the forearm were carried out using a slit lamp. This lamp was equipped by authors with a semiconductor violet laser with a peak wavelength of 405 nm. This violet laser excites AGE fluorescence. A color camera was utilized as a photodetector. It was covered by a cutting violet light filter made of polyimide film 40 micrometer thick. The diagnostic parameter ("Sclera" or "SL skin") was the ratio of the arithmetic mean of two green pixels, one of which was exposed by violet laser, whereas another one was exposed by white light. The experiments involved 40 practically healthy subjects with ages from 18 till 70. The experimental results demonstrated an expected increase of diagnostic parameters within the age. The calculated values of the Pearson correlation coefficient between the diagnostic parameters "Sclera" / "Skin SL", "Sclera" / "Skin FL", "Skin SL" / "Skin FL" were 0.96; 0.95 and 0.99, respectively, indicating their significant statistical relationship.

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Noninvasive detection of diabetes mellitus based on skin fluorescence and diffuse reflectance spectroscopy

Zhang,

Liu,

Zhu

et al. 2023

Journal of Biophotonics

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There is an urgent need for a mass population screening tool for diabetes. Skin tissue contains a large number of endogenous fluorophores and physiological parameter markers related to diabetes. We built an excitation‐emission spectrum measurement system with the excited light sources of 365, 395, 415, 430, and 455 nm to extract skin characteristics. The modeling experiment was carried out to design and verify the accuracy of the recovery of tissue intrinsic discrete three‐dimensional fluorescence spectrum. Blood oxygen modeling experiment results indicated the accuracy of the physiological parameter extraction algorithm based on the diffuse reflectance spectrum. A community population cohort study was carried out. The tissue‐reduced scattering coefficient and scattering power of the diabetes were significantly higher than normal control groups. The Gaussian multi‐peak fitting was performed on each excitation‐emission spectrum of the subject. A total of 63 fluorescence features containing information such as Gaussian spectral curve intensity, central wavelength position, and variance were obtained from each person. Logistic regression was used to construct the diabetes screening model. The results showed that the area under the receiver operating characteristic curve of the model for predicting diabetes was 0.816, indicating a high diagnostic value. As a rapid and non‐invasive detection method, it is expected to have high clinical value.

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Empirical method for rapid quantification of intrinsic fluorescence signals of key metabolic probes from optical spectra measured on tissue-mimicking turbid medium

Cited by 7 publications

References 26 publications

Single cell metabolism: current and future trends

Single cell metabolism: current and future trends

Investigating the sclera fluorescence in order to obtain AGE related diagnostic information

Noninvasive detection of diabetes mellitus based on skin fluorescence and diffuse reflectance spectroscopy

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