Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83718
Title: Switchable acoustic and optical resolution photoacoustic microscopy for in vivo small-animal blood vasculature imaging
Authors: Moothanchery, Mohesh
Sharma, Arunima
Pramanik, Manojit
Keywords: Acoustic resolution photoacoustic microscopy
Optical resolution photoacoustic microscopy
Issue Date: 2017
Source: Moothanchery, M., Sharma, A., & Pramanik, M. (2017). Switchable acoustic and optical resolution photoacoustic microscopy for in vivo small-animal blood vasculature imaging. Journal of Visualized Experiments, (124), e55810-.
Journal: Journal of Visualized Experiments
Abstract: Photoacoustic microscopy (PAM) is a fast-growing invivo imaging modality that combines both optics and ultrasound, providing penetration beyond the optical mean free path (~1 mm in skin) with high resolution. By combining optical absorption contrast with the high spatial resolution of ultrasound in a single modality, this technique can penetrate deep tissues. Photoacoustic microscopy systems can have either a low acoustic resolution and probe deeply or a high optical resolution and probe shallowly. It is challenging to achieve high spatial resolution and large depth penetration with a single system. This work presents an AR-OR-PAM system capable of both high-resolution imaging at shallow depths and low-resolution deep-tissue imaging of the same sample in vivo. A lateral resolution of 4 µm with 1.4 mm imaging depth using optical focusing and a lateral resolution of 45 µm with 7.8 mm imaging depth using acoustic focusing were successfully demonstrated using the combined system. Here, in vivo small-animal blood vasculature imaging is performed to demonstrate its biological imaging capability.
URI: https://hdl.handle.net/10356/83718
http://hdl.handle.net/10220/43815
ISSN: 1940-087X
DOI: 201958
201958
10.3791/55810
201958
Rights: © 2017 The author(s). This paper was published in Journal of Visualized Experiments and is made available as an electronic reprint (preprint) with permission of Journal of Visualized Experiments. The published version is available at: [http://dx.doi.org/10.3791/55810]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

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