2008
DOI: 10.1098/rsta.2008.0107
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Non-invasive study of nerve fibres using laser interference microscopy

Abstract: This paper presents the results of a laser interference microscopy study of the morphology and dynamical properties of myelinated nerve fibres. We describe the principles of operation of the phase-modulated laser interference microscope and show how this novel technique allows us to obtain information non-invasively about the internal structure of different regions of a nerve fibre. We also analyse the temporal variations in the internal optical properties in order to detect the rhythmic activity in the nerve … Show more

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Cited by 18 publications
(8 citation statements)
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“…It is important to realize that myelin is a dynamic structure and always observed either in one of its steady states or during transition from one state to another [15,16]. There is a balance between the processes of aggregation and splitting of myelin layers, especially in the paranode -node -paranode regions, which together with the Schmidt -Lanterman incisures are the most labile and complex regions of the fibre [17].…”
Section: Activity-dependent Changes In Myelin Structurementioning
confidence: 99%
“…It is important to realize that myelin is a dynamic structure and always observed either in one of its steady states or during transition from one state to another [15,16]. There is a balance between the processes of aggregation and splitting of myelin layers, especially in the paranode -node -paranode regions, which together with the Schmidt -Lanterman incisures are the most labile and complex regions of the fibre [17].…”
Section: Activity-dependent Changes In Myelin Structurementioning
confidence: 99%
“…It is known, that myelin sheath of peripheral nerve fibers consists of multiple layers of Schwann cell (SC) membranes, wrapped around the axon [ 1 , 2 ]. Emerging data suggests that specific interactions between axon and SC govern neuronal function [ 1 ].…”
Section: Introductionmentioning
confidence: 99%
“…Popescu et al, 2005;Popescu et al, 2006;Rappaz et al, 2007;Rappaz et al, 2008;Rappaz et al, 2009;Yusipovich, I et al, 2009;Yusipovich et al, 2011), fibroblasts (Dunn & Zicha, 1995), lymphocytes (Tychinsky et al, 2012), neurons (Rappaz et al, 2005;Yusipovich et al, 2006), nerve fibers (see e.g. Bibineyshvili et al, 2013;Brazhe et al, 2008;LaPorta & Kleinfeld, 2012;Maksimov et al, 2001), mast cells (Bondarenko et al, 2013), any microbiological objects (Tychinskii et al, 2007;Yusipovich et al, 2012;Zhurina et al, 2013) and others. In these work we propose a new assay for estimation a number of non-activated, activated and dead isolated peritoneal macrophages in a sample in vitro based on cell phase images.…”
Section: Introductionmentioning
confidence: 99%