Coherent anti-Stokes Raman scattering rigid endoscope toward robot-assisted surgery

Hirose, Keigo; Aoki, Takuya; Furukawa, Toshiharu; Fukushima, Shuichiro; Niioka, Hirohiko; Deguchi, Shinji; Hashimoto, Mamoru

doi:10.1364/boe.9.000387

Cited by 21 publications

(14 citation statements)

References 33 publications

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“…By virtue of the coherent buildup of the Raman signal, CARS microscopy offers a signal level several orders of magnitude higher than conventional spontaneous Raman scattering microscopy . CARS microscopy permits chemically‐specific rapid image acquisition of cells and tissues, providing useful information for biological research and clinical applications . CARS microscopy is typically performed in the frequency domain, in which the beat frequency between two input fields, the pump field, and the Stokes field excites molecular vibrations to generate a blue‐shifted CARS signal.…”

Section: Introductionmentioning

confidence: 99%

High‐speed broadband Fourier‐transform coherent anti‐stokes Raman scattering spectral microscopy

Kinegawa

Hiramatsu

Hashimoto

et al. 2019

J Raman Spectroscopy

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We demonstrate broadband Fourier‐transform coherent anti‐Stokes Raman scattering (FT‐CARS) spectral microscopy with a pixel dwell time of 42 μs, which is ~50 times shorter than the shortest‐to‐date pixel dwell time for CARS spectral microscopy. Our broadband FT‐CARS spectral microscope is composed of an FT‐CARS spectrometer, a rapid galvanometric scanner, and a high‐speed image acquisition circuit, enabling a frame rate of 2.4 fps with a pixel resolution of 100 × 100 pixels, a bandwidth of 600–1,200 cm−1, a spatial resolution of 0.95 μm, and a spectral resolution of 37 cm−1. As a proof‐of‐principle demonstration, we used the high‐speed FT‐CARS spectral microscope to perform CARS imaging of polymer beads and Haematococcus lacustris cells. Our high‐speed broadband CARS spectral microscope holds promise for studying rapid cellular dynamics, such as signaling, cell‐to‐cell communication, and molecular transport in a label‐free manner.

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Section: Introductionmentioning

confidence: 99%

High‐speed broadband Fourier‐transform coherent anti‐stokes Raman scattering spectral microscopy

Kinegawa

Hiramatsu

Hashimoto

et al. 2019

J Raman Spectroscopy

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“…We trained models with every combination of hyperparameters and chose the highest performance parameter for validation datasets. The hyperparameters (F, K, L) were (32,5,10) in DN,(48,3,18) in N2N, and (16,3,8) in W5.…”

Section: Methodsmentioning

confidence: 99%

“…We have developed a coherent anti-Stokes Raman scattering (CARS) rigid endoscope for visualizing myelinated nerves without labeling 8 , 9 . CRS (coherent Raman scattering) imaging, including CARS imaging, provides chemical images based on molecular vibrations, similar to spontaneous Raman scattering microscopy 10 – 12 .…”

Section: Introductionmentioning

confidence: 99%

Improvement of nerve imaging speed with coherent anti-Stokes Raman scattering rigid endoscope using deep-learning noise reduction

Yamato

Niioka

Miyake

et al. 2020

Sci Rep

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A coherent anti-Stokes Raman scattering (CARS) rigid endoscope was developed to visualize peripheral nerves without labeling for nerve-sparing endoscopic surgery. The developed CARS endoscope had a problem with low imaging speed, i.e. low imaging rate. In this study, we demonstrate that noise reduction with deep learning boosts the nerve imaging speed with CARS endoscopy. We employ fine-tuning and ensemble learning and compare deep learning models with three different architectures. In the fine-tuning strategy, deep learning models are pre-trained with CARS microscopy nerve images and retrained with CARS endoscopy nerve images to compensate for the small dataset of CARS endoscopy images. We propose using the equivalent imaging rate (EIR) as a new evaluation metric for quantitatively and directly assessing the imaging rate improvement by deep learning models. The highest EIR of the deep learning model was 7.0 images/min, which was 5 times higher than that of the raw endoscopic image of 1.4 images/min. We believe that the improvement of the nerve imaging speed will open up the possibility of reducing postoperative dysfunction by intraoperative nerve identification.

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“…Tissue visualization is another possibility that is offered by RS in terms of medical applications. Thus, an endoscope using CARS for visualization of nerves and nerve plexuses for robot-assisted surgery has been designed [230].…”

Section: Rs In Biomedicine and Diagnosticsmentioning

confidence: 99%

Raman Scattering: From Structural Biology to Medical Applications

et al. 2020

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This is a review of relevant Raman spectroscopy (RS) techniques and their use in structural biology, biophysics, cells, and tissues imaging towards development of various medical diagnostic tools, drug design, and other medical applications. Classical and contemporary structural studies of different water-soluble and membrane proteins, DNA, RNA, and their interactions and behavior in different systems were analyzed in terms of applicability of RS techniques and their complementarity to other corresponding methods. We show that RS is a powerful method that links the fundamental structural biology and its medical applications in cancer, cardiovascular, neurodegenerative, atherosclerotic, and other diseases. In particular, the key roles of RS in modern technologies of structure-based drug design are the detection and imaging of membrane protein microcrystals with the help of coherent anti-Stokes Raman scattering (CARS), which would help to further the development of protein structural crystallography and would result in a number of novel high-resolution structures of membrane proteins—drug targets; and, structural studies of photoactive membrane proteins (rhodopsins, photoreceptors, etc.) for the development of new optogenetic tools. Physical background and biomedical applications of spontaneous, stimulated, resonant, and surface- and tip-enhanced RS are also discussed. All of these techniques have been extensively developed during recent several decades. A number of interesting applications of CARS, resonant, and surface-enhanced Raman spectroscopy methods are also discussed.

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Coherent anti-Stokes Raman scattering rigid endoscope toward robot-assisted surgery

Cited by 21 publications

References 33 publications

High‐speed broadband Fourier‐transform coherent anti‐stokes Raman scattering spectral microscopy

High‐speed broadband Fourier‐transform coherent anti‐stokes Raman scattering spectral microscopy

Improvement of nerve imaging speed with coherent anti-Stokes Raman scattering rigid endoscope using deep-learning noise reduction

Raman Scattering: From Structural Biology to Medical Applications

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