Emerging optical spectroscopy techniques for biomedical applications—A brief review of recent progress

Ahn, Heesang; Song, Hwachang; Shin, Dong‐Myeong; Kim, Kyujung; Choi, Jong-ryul

doi:10.1080/05704928.2017.1324877

Cited by 21 publications

(10 citation statements)

References 105 publications

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“…Fiber Raman probes are a crucial device for challenging applications where access is severely restricted [9], for example, detection of hidden illegal drugs, toxic material analysis, and high temperature sensing [10]. Small dimension Raman probes have been developed for various clinical applications as they show great potential for diagnosing disease states in bodily fluids, cells, and tissues [11]. Raman probes have been developed with probe diameters, ranging from the centimeter [12] scale, millimeter scale and sub-millimeter [13,14] scale.…”

Section: Introductionmentioning

confidence: 99%

Raman imaging through multimode sapphire fiber

Deng¹,

Loterie²,

Konstantinou³

et al. 2019

Opt. Express

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We report on a sapphire fiber Raman imaging probe's use for challenging applications where access is severely restricted. Small-dimension Raman probes have been developed previously for various clinical applications because they show great capability for diagnosing disease states in bodily fluids, cells, and tissues. However, applications of these sub-millimeter diameter Raman probes were constrained by two factors: first, it is difficult to incorporate filters and focusing optics at such small scale; second, the weak Raman signal is often obscured by strong background noise from the fiber probe material, especially the most commonly used silica, which has a strong broad background noise in low wavenumbers (<500-1700 cm −1). Here, we demonstrate the thinnest-known imaging Raman probe with a 60 μm diameter Sapphire multimode fiber in which both excitation and signal collection pass through. This probe takes advantage of the low fluorescence and narrow Raman peaks of Sapphire, its inherent high temperature and corrosion resistance, and large numerical aperture (NA). Raman images of Polystyrene beads, carbon nanotubes, and CaSO 4 agglomerations are obtained with a spatial resolution of 1 μm and a field of view of 30 μm. Our imaging results show that single polystyrene bead (~15 µm diameter) can be differentiated from a mixture with CaSO 4 agglomerations, which has a close Raman shift.

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Section: Introductionmentioning

confidence: 99%

Raman imaging through multimode sapphire fiber

Deng¹,

Loterie²,

Konstantinou³

et al. 2019

Opt. Express

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show abstract

“…The sensing of biomarkers in either exhaled breath or biofluids, e.g., blood, breath, sweat, saliva, urine, is of great importance for bioanalysis and biomedical diagnosis 32 – 35 . For instance, the detection of the glucose concentration in blood or saliva can provide diagnostic or monitoring information for diabetes, while measuring the electrolyte level in sweat helps screen for dehydration.…”

Section: Application-oriented Analysis Of Integrated Spectrometersmentioning

confidence: 99%

Advances in cost-effective integrated spectrometers

et al. 2022

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The proliferation of Internet-of-Things has promoted a wide variety of emerging applications that require compact, lightweight, and low-cost optical spectrometers. While substantial progresses have been made in the miniaturization of spectrometers, most of them are with a major focus on the technical side but tend to feature a lower technology readiness level for manufacturability. More importantly, in spite of the advancement in miniaturized spectrometers, their performance and the metrics of real-life applications have seldomly been connected but are highly important. This review paper shows the market trend for chip-scale spectrometers and analyzes the key metrics that are required to adopt miniaturized spectrometers in real-life applications. Recent progress addressing the challenges of miniaturization of spectrometers is summarized, paying a special attention to the CMOS-compatible fabrication platform that shows a clear pathway to massive production. Insights for ways forward are also presented.

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“…In the past few decades, near-infrared spectroscopy (NIR) has been widely used in various fields, because of its fast speed and the fact that it does not cause damage to sample characteristics. These areas include pharmaceutical [1,2,3], biomedical [4], petrochemical [5], agricultural [6,7], food [8,9,10]. In the NIR analysis, the most frequently used multivariate calibration techniques are partial least squares regression (PLS) [11,12] and principal component regression (PCR) [13,14].…”

Section: Introductionmentioning

confidence: 99%

PLS Subspace-Based Calibration Transfer for Near-Infrared Spectroscopy Quantitative Analysis

Zhao

Shan

et al. 2019

Molecules

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In order to enable the calibration model to be effectively transferred among multiple instruments and correct the differences between the spectra measured by different instruments, a new feature transfer model based on partial least squares regression (PLS) subspace (PLSCT) is proposed in this paper. Firstly, the PLS model of the master instrument is built, meanwhile a PLS subspace is constructed by the feature vectors. Then the master spectra and the slave spectra are projected into the PLS subspace, and the features of the spectra are also extracted at the same time. In the subspace, the pseudo predicted feature of the slave spectra is transferred by the ordinary least squares method so that it matches the predicted feature of the master spectra. Finally, a feature transfer relationship model is constructed through the feature transfer of the PLS subspace. This PLS-based subspace transfer provides an efficient method for performing calibration transfer with only a small number of standard samples. The performance of the PLSCT was compared and assessed with slope and bias correction (SBC), piecewise direct standardization (PDS), calibration transfer method based on canonical correlation analysis (CCACT), generalized least squares (GLSW), multiplicative signal correction (MSC) methods in three real datasets, statistically tested by the Wilcoxon signed rank test. The obtained experimental results indicate that PLSCT method based on the PLS subspace is more stable and can acquire more accurate prediction results.

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Emerging optical spectroscopy techniques for biomedical applications—A brief review of recent progress

Cited by 21 publications

References 105 publications

Raman imaging through multimode sapphire fiber

Raman imaging through multimode sapphire fiber

Advances in cost-effective integrated spectrometers

PLS Subspace-Based Calibration Transfer for Near-Infrared Spectroscopy Quantitative Analysis

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