Four-Channel Differential Lock-in Amplifiers With Autobalancing Network for Stimulated Raman Spectroscopy

Sciortino, Giuseppe; Ragni, Andrea; Cadena, Alejandro De la; Sampietro, Marco; Cerullo, Giulio; Polli, Dario; Ferrari, Giorgio

doi:10.1109/jssc.2020.3046484

Cited by 16 publications

(7 citation statements)

References 39 publications

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“…This protocol has three minor limitations. First, the detection scheme employed in this contribution consists of a nonconventional, multichannel lock-in detector designed and built in-house by Sciortino et al 26 As demonstrated previously 25 , this detector can be replaced by an off-the-shelf system complexity and lead to losses of optical power and pulse broadening.…”

Section: Representative Resultsmentioning

confidence: 99%

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Cadena

Vernuccio

Talone

et al. 2022

JoVE

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Stimulated Raman scattering (SRS) microscopy is a nonlinear optical technique for label-free chemical imaging. This analytical tool delivers chemical maps at high speed, and high spatial resolution of thin samples by directly interrogating their molecular vibrations. In its standard implementation, SRS microscopy is narrowband and forms images with only a single vibrational frequency at a time. However, this approach not only hinders the chemical specificity of SRS but also neglects the wealth of information encoded within vibrational spectra.These limitations can be overcome by broadband SRS, an implementation capable of extracting a vibrational spectrum per pixel of the image in parallel. This delivers hyperspectral data that, when coupled with chemometric analysis, maximizes the amount of information retrieved from the specimen. Thus, broadband SRS improves the chemical specificity of the system, allowing the quantitative determination of the concentration of the different constituents of a sample. Here, we report a protocol for chemical imaging with broadband SRS microscopy, based on a home-built SRS microscope operating with a custom differential multichannel-lock-in amplifier detection. It discusses the sample preparation, alignment of the SRS apparatus, and chemometric analysis. By acquiring vibrational Raman spectra, the protocol illustrates how to identify different chemical species within a mixture, determining their relative concentrations.

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Section: Representative Resultsmentioning

confidence: 99%

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Cadena

Vernuccio

Talone

et al. 2022

JoVE

Self Cite

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“…ANN algorithms are inspired by the human brain and nervous system. ANNs can learn the interrelationships between water environment variables and water quality indicators, using interconnections and 'new' variable values to be able to quantitatively predict changes in water environment quality [5][6].…”

Section: Problems In the Studymentioning

confidence: 99%

Raman Spectroscopy System for Water Pollution Control based on Artificial Neural Network

2023

WPPCP

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Water resources are an important material resource for living and production. China is a country with poor water resources, and at the same time, the existing water resources in China are all polluted to varying degrees, especially the quality of surface water is closely related to the quality of people's production and life. With the boom in artificial neural network (ANN) research, neural networks have now been used in a number of fields such as graphics processing, expert decision making systems, sound processing, etc. due to the advantages of ANNs themselves, which have achieved amazing results. The theory has turned into a new multifaceted avant-garde discipline associated with multiple fields. In recent years, ANN research has been gradually applied to environmental science, some of which have applied ANN research to areas such as water eutrophication prediction and water quality prediction. The application of ANN technology to surface water quality prediction is at an early stage, and its characteristics make it a great advantage in this field. This paper investigates the use of BP ANNs to predict surface water quality, to make rapid and accurate predictions of surface water pollution, and to provide decisions for the protection of water resources and pollution prevention.

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“…In 2021, Sciortino et al [23] summarised and collated the effect of fibre material on the non-linear effect, stating that the SRS power can be expressed as…”

Section: Materials Componentsmentioning

confidence: 99%

Analysis on Transmission Characteristics of Stimulated Raman Scattering Based on the Multi-Sensor Signal Enhancement Technique

Men

2022

Scientific Programming

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In recent 20 years, fibre laser system has been developed rapidly and widely used for its high quality, high efficiency, high robustness, and compactness. However, there are still many factors (such as non-linear effect, thermal effect, and mode instability) that limit the further increase of power of fibre laser system. Stimulated Raman scattering (SRS) is one of the main limitations in the transmission process of fibre lasers. It not only reduces the output efficiency of fibre lasers, but also increases the damage risk of reverse Stokes light to the system. Recent studies have shown that SRS in low-mode fibres can lead to quasi-static mode degradation in addition to mode instability. With the introduction of multi-sensor enhancement technology in the fibre field, it becomes an effective means to popularise high-power and high-beam quality fibre lasers. Based on the multi-sensor signal enhancement technology, this paper explores the influence of this technology on the output efficiency of SRS in the mode-reducing fibre laser, which provides a new idea and method for the output efficiency and transmission analysis method of fibre laser.

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Four-Channel Differential Lock-in Amplifiers With Autobalancing Network for Stimulated Raman Spectroscopy

Cited by 16 publications

References 39 publications

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Raman Spectroscopy System for Water Pollution Control based on Artificial Neural Network

Analysis on Transmission Characteristics of Stimulated Raman Scattering Based on the Multi-Sensor Signal Enhancement Technique

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