Quantum-Cascade Lasers in Medicine and Biology (Review)

Abramov, P. I.; Кузнецов, Е. В.; Skvortsov, L A; Скворцова, М. И.

doi:10.1007/s10812-019-00775-8

“…Numerous studies have reported an increased speed and resolution in chemical imaging [20] and specifically improved analysis of amide I and II bands in proteins [21]. QCL technology is fundamental to fill the gaps in hardware development of portable and fast systems in disease and vector surveillance [22][23][24]. As supporting evidence that mid-infrared spectroscopy is a reliable tool for disease surveillance is increasing, it is timely to explore alternatives to the FTIR to adapt it to the challenges in field deployment.…”

Section: It Characterises the Chemical Composition Of A Sample By Mea...mentioning

confidence: 99%

Towards fast quantum cascade laser spectrometers for high-throughput and cost-effective disease surveillance

Betancourth,

Boldin,

Ochoa-Gutierrez

et al. 2024

Preprint

0

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Fourier transform infrared (FTIR) spectroscopy coupled with Machine Learning (ML) analysis can be used for disease monitoring with high speed and accuracy, including classification of mosquito samples into species and age and malaria detection. However, current FTIR instruments use low brightness thermal light sources to generate infrared light, which limits the measurement of complex biological samples, especially where high spatial resolution is necessary, such as specific mosquito tissues. Moreover, portability of these systems is lacking, which is needed for their application in the field. To overcome these issues, spectrometers using quantum cascade lasers (QCLs) have become an attractive alternative to build fast and portable systems due to their high electrical-to-optical efficiency, small size, and potential to be low-cost. Here, we present a QCL- based spectrometer prototype that is aimed at large scale, low-cost, environmental field-based disease surveillance

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“…Numerous studies have reported an increased speed and resolution in chemical imaging [20] and specifically improved analysis of amide I and II bands in proteins [21]. QCL technology is fundamental to fill the gaps in hardware development of portable and fast systems in disease and vector surveillance [22][23][24]. As supporting evidence that mid-infrared spectroscopy is a reliable tool for disease surveillance is increasing, it is timely to explore alternatives to the FTIR to adapt it to the challenges in field deployment.…”

Section: It Characterises the Chemical Composition Of A Sample By Mea...mentioning

confidence: 99%

Towards fast quantum cascade laser spectrometers for high-throughput and cost-effective disease surveillance

Betancourth,

Boldin,

Ochoa-Gutierrez

et al. 2024

Preprint

1

0

View full text Add to dashboard Cite

Fourier transform infrared (FTIR) spectroscopy coupled with Machine Learning (ML) analysis can be used for disease monitoring with high speed and accuracy, including classification of mosquito samples into species and age and malaria detection. However, current FTIR instruments use low brightness thermal light sources to generate infrared light, which limits the measurement of complex biological samples, especially where high spatial resolution is necessary, such as specific mosquito tissues. Moreover, portability of these systems is lacking, which is needed for their application in the field. To overcome these issues, spectrometers using quantum cascade lasers (QCLs) have become an attractive alternative to build fast and portable systems due to their high electrical-to-optical efficiency, small size, and potential to be low-cost. Here, we present a QCL- based spectrometer prototype that is aimed at large scale, low-cost, environmental field-based disease surveillance

show abstract

“…The manufacturer is a fabless company in the field of quantum cascade lasers (QCL) manufacturing and assembly, representing the huge sector of laser manufacturers for the aim of the present work. Indeed, as a Swiss SME, the manufacturer is focused on the development of optoelectronic devices in the Mid-Infrared (mid-IR) range that are of particular interest for various consumers, e.g., from the clinical diagnostic to the environmental (Harrer et al, 2016) and industrial quality control (Isensse et al, 2018) (Abramov et al, 2019). The QCLs are processed on semiconductor wafers including hundreds of devices (Bismuto et al, 2015).…”

Section: Introduction-problem Statementmentioning

confidence: 99%

Defect detection on optoelectronical devices to assist decision making: A real industry 4.0 case study

Moustris¹,

Kouzas²,

Fourakis³

et al. 2022

Front. Manuf. Technol.

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This paper presents an innovative approach, based on industry 4.0 concepts, for monitoring the life cycle of optoelectronical devices, by adopting image processing and deep learning techniques regarding defect detection. The proposed system comprises defect detection and categorization during the front-end part of the optoelectronic device production process, providing a two-stage approach; the first is the actual defect identification on individual components at the wafer level, while the second is the pre-classification of these components based on the recognized defects. The system provides two image-based defect detection pipelines. One using low resolution grating images of the wafer, and the other using high resolution surface scan images acquired with a microscope. To automate the entire process, a communication middleware called Higher Level Communication Middleware (HLCM) is used for orchestrating the information between the processing steps. At the last step of the process, a Decision Support System (DSS) collects all information, processes it and labels it with additional defect type categories, in order to provide recommendations to the optoelectronical engineer. The proposed solution has been implemented on a real industrial use-case in laser manufacturing. Analysis shows that chips validated through the proposed process have a probability to lase at a specific frequency six times higher than the fully rejected ones.

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Quantum-Cascade Lasers in Medicine and Biology (Review)

Cited by 18 publications

References 118 publications

Towards fast quantum cascade laser spectrometers for high-throughput and cost-effective disease surveillance

Towards fast quantum cascade laser spectrometers for high-throughput and cost-effective disease surveillance

Towards fast quantum cascade laser spectrometers for high-throughput and cost-effective disease surveillance

Defect detection on optoelectronical devices to assist decision making: A real industry 4.0 case study

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