PUBLICATION

Image Cross-Correlation Analysis of time varying flows

Authors
Marquezin, C.A., Ceffa, N.G., Cotelli, F., Collini, M., Sironi, L., Chirico, G.
ID
ZDB-PUB-160628-3
Date
2016
Source
Analytical chemistry   88(14): 7115-22 (Journal)
Registered Authors
Cotelli, Franco
Keywords
none
MeSH Terms
  • Animals
  • Fluorescence
  • Fluorescent Dyes/chemistry
  • Hemodynamics*
  • Microscopy, Fluorescence/methods
  • Microspheres
  • Pulse
  • Rhodamines/chemistry
  • Time
  • Unilamellar Liposomes/chemistry
  • Zebrafish/physiology*
PubMed
27348197 Full text @ Anal. Chem.
Abstract
In vivo studies of blood circulation pathologies have great medical relevance and need methods for the characterization of time varying flows at high spatial and time resolution in small animal models. We test here the efficacy of the combination of image correlation techniques and Single Plane Illumination Microscopy (SPIM) in characterizing time varying flows in-vitro and in-vivo. As indicated by numerical simulations and by in-vitro experiments on straight capillaries, the complex analytical form of the Cross-correlation function for SPIM detection can be simplified, in conditions of interest for hemodynamics, to a superposition of Gaussian components, easily amenable to the analysis of variable flows. The possibility to select a wide field of view with a good spatial resolution along the collection optical axis and to compute the cross-correlation between regions of interest at varying distance on a single time stack of images, allows to single out periodic flow components from spurious peaks on the Cross-correlation functions and to infer the duration of each flow component. We apply this cross-correlation analysis to the blood flow in Zebrafish embryos at 4 days after fertilization, measuring the average speed and the duration of the systolic and diastolic phases.
Genes / Markers
Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping