1995
DOI: 10.3367/ufnr.0165.199505c.0555
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The physical bases of cell movement. The mechanisms of self-organisation of amoeboid motility

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Cited by 16 publications
(16 citation statements)
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“…Also of interest for inhomogeneous tissue optics are speckle-optic methods and speckleinterferometry [230,231]. Useful information about coherent techniques and their applications to cell and tissue optics can be found in a few excellent reviews [196,232]. Ref.…”
Section: Resultsmentioning
confidence: 99%
“…Also of interest for inhomogeneous tissue optics are speckle-optic methods and speckleinterferometry [230,231]. Useful information about coherent techniques and their applications to cell and tissue optics can be found in a few excellent reviews [196,232]. Ref.…”
Section: Resultsmentioning
confidence: 99%
“…The low-frequency modulation of the velocity oscillation is well seen. This modulation is a consequence of the distributed and self-oscillating nature of Physarum contraction activity [9]. In Figure 6 several flow velocity profiles measured at different time instances corresponding to t 1 , .…”
Section: Doppler Oct Imagingmentioning
confidence: 98%
“…The dynamics of the wall contraction and the cytoplasm shuttle flow in Physarum have been studied by numerous researchers implementing phase-contrast microscopy [8], laser Doppler microscopy [9,10] and image analysis [11] aiming, in particular, to assess the mechanism of synchronization of the oscillations and the nature of the pacemaker and synchrofactor. Mathematical models have been designed to describe complex dynamic phenomena [9,12].…”
Section: Biophotonicsmentioning
confidence: 99%
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“…These studies set the adhesion-dependence of the three-step migration model (see Sect. 2.3) on a solid mathematical basis, while the nonlinear dynamics of actin polymerization led to several models of cell migration based on symmetry breaking in the system [130,131]. However, there exist even more sophisticated models that combine the basic concepts to explain observations on cell mechanics [132].…”
Section: Partial Differential Equation (Pde) Modelsmentioning
confidence: 99%