Near-resonance enhanced label-free stimulated Raman scattering microscopy with spatial resolution near 130 nm

Bi, Yali; Yang, Ciqiu; Chen, Yage; Yan, Shuai; Yang, Guang; Wu, Yunxiang; Zhang, Guoping; Wang, Ping

doi:10.1038/s41377-018-0082-1

Cited by 77 publications

(60 citation statements)

References 38 publications

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“…The diversity of the types of device configurations allows amplifying the sensitivity of the technique and allows a variety of applications, ranging from the quantification of drug substances in tablets and mixtures of powders to multiplex samples (3,(10)(11)(12)(13)(14)(15)(16)(17), samples in low concentrations (18,19), molecular traces (20)(21)(22), samples inside packs (23) and materials in nanometric scale (Table 1) (24,25). Conventional Raman spectroscopy requires high sample concentration and it is affected by fluorescence.…”

Section: Main Variants Of Raman Spectroscopymentioning

confidence: 99%

Raman Spectroscopy for Quantitative Analysis in the Pharmaceutical Industry

2020

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Raman spectroscopy is a very promising technique increasingly used in the pharmaceutical industry. Due to its development and improved instrumental versatility achieved over recent decades and through the application of chemometric methods, this technique has become highly precise and sensitive for the quantification of drug substances. Thus, it has become fundamental in identifying critical variables and their clinical relevance in the development of new drugs. In process monitoring, it has been used to highlight in-line real-time analysis, and it has been used more commonly since 2004 when the Food and Drug Administration (FDA) launched Process Analytical Technology (PAT), integrated with the concepts of Pharmaceutical Current Good Manufacturing Practices (CGMPs) for the 21st Century. The present review presents advances in the application of this tool in the development of pharmaceutical products and processes in the last six years.

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Section: Main Variants Of Raman Spectroscopymentioning

confidence: 99%

Raman Spectroscopy for Quantitative Analysis in the Pharmaceutical Industry

2020

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“…Bi et al employed visible wavelengths instead of near infrared wavelengths for SRS imaging by frequency doubling the pump and the Stokes beam; spatial resolution down to 130 nm in a near-resonance enhanced SRS microscopy experiment was reported. 30 As an extension of SAX, Yonemaru et al…”

Section: Introductionmentioning

confidence: 99%

Spectral Narrowing Accompanies Enhanced Spatial Resolution in Saturated Coherent Anti-Stokes Raman Scattering (CARS): Comparisons of Experiment and Theory

et al. 2020

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We demonstrate theoretically and confirm experimentally the mechanism by which spectral narrowing accompanies enhanced spatial resolution in a saturated coherent anti-Stokes Raman scattering (CARS) signal that is demodulated at the third harmonic (3f) of the pump modulation frequency (f). Under these modulation conditions, theory predicts a narrowing of the full width at half-maximum (FWHM) of the CARS spectrum by a factor of 2.0 with respect to that of the spectrum obtained by demodulation at the fundamental frequency. Theory also predicts an improvement of spatial resolution by a factor of 1.7. Experimentally, narrowing of the FWHM of the CARS spectrum of 1,4-bis((E)-2-methylstyryl) benzene (MSB) crystals by a factor of 2.5 is observed upon saturation. Further experimental confirmation is provided from investigating diamond particles, for which spectral narrowing was enhanced by a factor of 2.8 and spatial resolution was enhanced by a factor of 2. Details of the mechanism and execution of the saturated CARS experiment are elucidated and limits to its applicability are suggested, one of which is the conclusion that the saturation approach is not suitable for extraction of harmonics beyond 3f. In this work, we have developed a more comprehensive understanding of the correlation between the observed experimental results and experimental factors than has been previously reported. Disciplines Disciplines Physical Chemistry Comments Comments

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“…Based on strong molecular specificity [1], Raman spectroscopy has the advantage of non-invasive, high specificity, and high sensitivity [2,3]. It has a wide range of applications in geology, medicine, archaeology, and chemistry [4,5,6,7,8,9,10,11]. For example, Li et al [12] have studied Sudan Red I in duck feed by analyzing the R, G, B three-color channel of the Raman spectral pseudo-color images and the Raman pseudo-color image binarization.…”

Section: Introductionmentioning

confidence: 99%

Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology

Yang

Zhu

Wang

et al. 2019

Sensors

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Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points. In this paper, a super-resolution image reconstruction algorithm for Raman spectroscopy is studied to convert raw Raman data into pseudo-color super-resolution imaging. Firstly, the Raman spectrum data of a single measurement point is measured multiple times to calculate the mean value to remove the random background noise, and innovatively introduce the Retinex algorithm and the median filtering algorithm which improve the signal-to-noise ratio. The novel method of using deep neural network performs a super-resolution reconstruction operation on the gray image. An adaptive guided filter that automatically adjusts the filter radius and penalty factor is proposed to highlight the contour of the cell, and the super-resolution reconstruction of the pseudo-color image of the Raman spectrum is realized. The average signal-to-noise ratio of the reconstructed pseudo-color image sub-band reaches 14.29 db, and the average value of information entropy reaches 4.30 db. The results show that the Raman-based cell pseudo-color image super-resolution reconstruction algorithm is an effective tool to effectively remove noise and high-resolution visualization. The contrast experiments show that the pseudo-color image Kullback–Leiber (KL) entropy of the color image obtained by the method is small, the boundary is obvious, and the noise is small, which provide technical support for the development of sophisticated single-cell imaging Raman spectroscopy instruments.

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Near-resonance enhanced label-free stimulated Raman scattering microscopy with spatial resolution near 130 nm

Cited by 77 publications

References 38 publications

Raman Spectroscopy for Quantitative Analysis in the Pharmaceutical Industry

Raman Spectroscopy for Quantitative Analysis in the Pharmaceutical Industry

Spectral Narrowing Accompanies Enhanced Spatial Resolution in Saturated Coherent Anti-Stokes Raman Scattering (CARS): Comparisons of Experiment and Theory

Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology

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