Multiple speckle exposure imaging for the study of blood flow changes induced by functional activation of barrel cortex and olfactory bulb in mice.

Autor:	Soleimanzad H; IMNC, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France.; BFA, CNRS, Université Paris Diderot, Paris, France., Smekens F; IMNC, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France., Peyronnet J; IMNC, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France., Juchaux M; IMNC, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France.; C2N, CNRS, Université Paris-Sud, Université Paris-Saclay, Palaiseau, France., Lefebvre O; IMNC, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France., Bouville D; C2N, CNRS, Université Paris-Sud, Université Paris-Saclay, Palaiseau, France., Magnan C; BFA, CNRS, Université Paris Diderot, Paris, France., Gurden H; BFA, CNRS, Université Paris Diderot, Paris, France., Pain F; IMNC, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France.
Jazyk:	angličtina
Zdroj:	Neurophotonics [Neurophotonics] 2019 Jan; Vol. 6 (1), pp. 015008. Date of Electronic Publication: 2019 Mar 05.
DOI:	10.1117/1.NPh.6.1.015008
Abstrakt:	Speckle contrast imaging allows in vivo imaging of relative blood flow changes. Multiple exposure speckle imaging (MESI) is more accurate than the standard single-exposure method since it allows separating the contribution of the static and moving scatters of the recorded speckle patterns. MESI requires experimental validation on phantoms prior to in vivo experiments to ensure the proper calibration of the system and the robustness of the model. The data analysis relies on the calculation of the speckle contrast for each exposure and a subsequent nonlinear fit to the MESI model to extract the scatterers correlation time and the relative contribution of moving scatters. We have designed two multichannel polydimethylsiloxane chips to study the influence of multiple and static scattering on the accuracy of MESI quantitation. We also propose a method based on standard C++ libraries to implement a computationally efficient analysis of the MESI data. Finally, the system was used to obtain in vivo hemodynamic data on two distinct sensory areas of the mice brain: the barrel cortex and the olfactory bulb.
Databáze:	MEDLINE
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