Synchronized renal blood flow dynamics mapped with wavelet analysis of laser speckle flowmetry data

Alexey R Brazhe; Donald J Marsh; Niels-Henrik Holstein-Rathlou; Olga Sosnovtseva

doi:10.1371/journal.pone.0105879

Synchronized renal blood flow dynamics mapped with wavelet analysis of laser speckle flowmetry data

PLoS One. 2014 Sep 12;9(9):e105879. doi: 10.1371/journal.pone.0105879. eCollection 2014.

Authors

Alexey R Brazhe¹, Donald J Marsh², Niels-Henrik Holstein-Rathlou³, Olga Sosnovtseva³

Affiliations

¹ Department of Biophysics, Biological Faculty, Moscow State University, Moscow, Russia.
² Department of Molecular Pharmacology, Physiology, and Biotechnology, Brown University, Providence, Rhode Island, United States of America.
³ Department of Biomedical Sciences, Panum Institute, University of Copenhagen, Copenhagen, Denmark.

Abstract

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Feedback, Physiological
Fourier Analysis
Hemorheology / physiology*
Laser-Doppler Flowmetry / methods*
Male
Rats, Long-Evans
Renal Circulation / physiology*
Wavelet Analysis*

Grants and funding

The work is part of the Dynamical Systems Interdisciplinary Network, University of Copenhagen. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.