Open Access
19 September 2019 Cortex-wide multiparametric photoacoustic microscopy based on real-time contour scanning
Author Affiliations +
Abstract

Large-scale, high-resolution imaging of cerebral hemodynamics is essential for brain research. Uniquely capable of comprehensive quantification of cerebral hemodynamics and oxygen metabolism in rodents based on the endogenous hemoglobin contrast, multiparametric photoacoustic microscopy (PAM) is ideally suited for this purpose. However, the out-of-focus issue due to the uneven surface of the rodent brain results in inaccurate PAM measurements and presents a significant challenge to cortex-wide multiparametric recording. We report a large-scale, high-resolution, multiparametric PAM system based on real-time surface contour extraction and scanning, which avoids the prescan and offline calculation of the contour map required by previously reported contour-scanning strategies. The performance of this system has been demonstrated in both phantoms and the live mouse brain through a thinned-skull window. Side-by-side comparison shows that the real-time contour scanning not only improves the quality of structural images by addressing the out-of-focus issue but also ensures accurate measurements of the concentration of hemoglobin (CHb), oxygen saturation of hemoglobin (sO2), and cerebral blood flow (CBF) over the entire mouse cortex. Furthermore, quantitative analysis reveals how the out-of-focus issue impairs the measurements of CHb, sO2, and CBF.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Zhiqiang Xu, Naidi Sun, Rui Cao, Zhengying Li, Quan Liu, and Song Hu "Cortex-wide multiparametric photoacoustic microscopy based on real-time contour scanning," Neurophotonics 6(3), 035012 (19 September 2019). https://doi.org/10.1117/1.NPh.6.3.035012
Received: 7 June 2019; Accepted: 4 September 2019; Published: 19 September 2019
Lens.org Logo
CITATIONS
Cited by 15 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Photoacoustic microscopy

Raster graphics

Brain

Signal to noise ratio

Hemodynamics

Head

Neurophotonics

Back to Top