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Synchronized Renal Blood Flow Dynamics Mapped with Wavelet Analysis of Laser Speckle Flowmetry Data
Author(s) -
Alexey Brazhe,
Donald J. Marsh,
NielsHenrik HolsteinRathlou,
Olga Sosnovtseva
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0105879
Subject(s) - speckle pattern , blood flow , wavelet , laser doppler velocimetry , speckle imaging , synchronization (alternating current) , wavelet transform , microcirculation , laser , artificial intelligence , optics , computer vision , biomedical engineering , computer science , physics , medicine , channel (broadcasting) , telecommunications
Full-field laser speckle microscopy provides real-time imaging of superficial blood flow rate. Here we apply continuous wavelet transform to time series of speckle-estimated blood flow from each pixel of the images to map synchronous patterns in instantaneous frequency and phase on the surface of rat kidneys. The regulatory mechanism in the renal microcirculation generates oscillations in arterial blood flow at several characteristic frequencies. Our approach to laser speckle image processing allows detection of frequency and phase entrainments, visualization of their patterns, and estimation of the extent of synchronization in renal cortex dynamics.

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