2012
DOI: 10.1016/j.bpj.2011.11.550
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Coarsening Dynamics of Domains in Lipid Membranes

Abstract: the phase diagram itself. Brewster angle microscopy allows one to image the domains in a Langmuir monolayer with and without the probe molecules to directly test their effect. The combined Brewster angle (BAM)/ fluorescence microscope allows us to image simultaneously with the two techniques exactly the same domains in the Langmuir film. In general, the images taken by the two microscopes compare well. Comparison of the techniques can then make it easier to correlate the different domain properties leading to … Show more

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Cited by 32 publications
(63 citation statements)
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“…These theoretical predictions have been verified by Keller and coworkers [60,61] using fluorescence microscopy on model multicomponent membranes and the expected power law behavior was confirmed within the experimental error. The same group also studied the dynamics of thermal fluctuations close to T c [101] and the dynamics of phase separation and coarsening below T c [102] and again found good agreement with theoretical predictions. Connell et al showed by AFM studies of supported bilayers that the critical behavior persists up to temperatures where the correlation length is only of the order of a few nanometers [54].…”
Section: Domains Close To a Critical Pointsupporting
confidence: 54%
“…These theoretical predictions have been verified by Keller and coworkers [60,61] using fluorescence microscopy on model multicomponent membranes and the expected power law behavior was confirmed within the experimental error. The same group also studied the dynamics of thermal fluctuations close to T c [101] and the dynamics of phase separation and coarsening below T c [102] and again found good agreement with theoretical predictions. Connell et al showed by AFM studies of supported bilayers that the critical behavior persists up to temperatures where the correlation length is only of the order of a few nanometers [54].…”
Section: Domains Close To a Critical Pointsupporting
confidence: 54%
“…calculating cluster sizes via L 1 (t) and calculating clusterdistances L 2 (t) basically leads to the same growth law (Fig. 7) [47]. Thus, there is only one independent macroscopic length scale in the system.…”
Section: Structure and Growth At Late Timesmentioning
confidence: 61%
“…(5,6)), allowing to analytically understand the transition line between cluster phases, which originate from a stationary instability of the uniform phase, and hunting swarms, emerging from an oscillatory instability. As a further characteristic difference between these phases, we find that clusters (and the distance between them) grow diffusively (L(t) ∝ t 0.35 [41][42][43][44][45]47]), whereas hunting swarms grow significantly faster (L(t) ∝ t 0.56 [48]). Future work might include more specific biological details and could address the effect of confining boundaries or obstacles [49][50][51][52].…”
mentioning
confidence: 85%
“…All compositions were measured at least twice (i.e., reheated and cooled at least once) to ensure that domains were indicative of equilibrium phenomena. Liquid domains have round shapes and merge quickly upon collision with other liquid domains (36,37). Solid domains have static, typically noncircular shapes.…”
Section: Imaging Vesiclesmentioning
confidence: 99%