2023
DOI: 10.1117/1.nph.10.3.035007
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Toward peripheral nerve mechanical characterization using Brillouin imaging spectroscopy

Vsevolod Cheburkanov,
Junwei Du,
David M. Brogan
et al.

Abstract: Peripheral nerves are viscoelastic tissues with unique elastic characteristics. Imaging of peripheral nerve elasticity is important in medicine, particularly in the context of nerve injury and repair. Elasticity imaging techniques provide information about the mechanical properties of peripheral nerves, which can be useful in identifying areas of nerve damage or compression, as well as assessing the success of nerve repair procedures.Aim: We aim to assess the feasibility of Brillouin microspectroscopy for peri… Show more

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Cited by 2 publications
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“…Additionally, it is worth noting that confocal Raman spectroscopy can be paired with Brillouin spectroscopy, allowing for the simultaneous investigation of both biochemistry and biomechanics at the subcellular level (Rix et al 2022 ). Brillouin imaging spectroscopy has already demonstrated its potential in characterizing the viscoelastic properties of nervous tissue, as evidenced by recent studies (Cheburkanov et al 2023 ; Rad et al 2022 ; Ryu et al 2021 ), while few pioneering applications have addressed the study of neurodegenerative diseases and spinal cord injuries in animal models (Palombo et al 2018 ; Schlüßler et al 2018 ).…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, it is worth noting that confocal Raman spectroscopy can be paired with Brillouin spectroscopy, allowing for the simultaneous investigation of both biochemistry and biomechanics at the subcellular level (Rix et al 2022 ). Brillouin imaging spectroscopy has already demonstrated its potential in characterizing the viscoelastic properties of nervous tissue, as evidenced by recent studies (Cheburkanov et al 2023 ; Rad et al 2022 ; Ryu et al 2021 ), while few pioneering applications have addressed the study of neurodegenerative diseases and spinal cord injuries in animal models (Palombo et al 2018 ; Schlüßler et al 2018 ).…”
Section: Discussionmentioning
confidence: 99%