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Open AccessJournal ArticleDOI

Photoacoustic microscopy: Photoacoustic microscopy

Junjie Yao, +1 more
- 01 Sep 2013 - 
- Vol. 7, Iss: 5, pp 758-778
TLDR
Focusing on state-of-the-art developments in PAM, this Review discusses the key features of PAM implementations and their applications in biomedical studies.
Abstract
Photoacoustic microscopy (PAM) is a hybrid in vivo imaging technique that acoustically detects optical contrast via the photoacoustic effect. Unlike pure optical microscopic techniques, PAM takes advantage of the weak acoustic scattering in tissue and thus breaks through the optical diffusion limit (~1 mm in soft tissue). With its excellent scalability, PAM can provide high-resolution images at desired maximum imaging depths up to a few millimeters. Compared with backscattering-based confocal microscopy and optical coherence tomography, PAM provides absorption contrast instead of scattering contrast. Furthermore, PAM can image more molecules, endogenous or exogenous, at their absorbing wavelengths than fluorescence-based methods, such as wide-field, confocal, and multi-photon microscopy. Most importantly, PAM can simultaneously image anatomical, functional, molecular, flow dynamic and metabolic contrasts in vivo. Focusing on state-of-the-art developments in PAM, this Review discusses the key features of PAM implementations and their applications in biomedical studies.

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Remote photoacoustic tomography using diode-array and speckle-analysis

TL;DR: In this paper, the authors demonstrated for the first time that remote photoacoustic sensing by speckle analysis can be performed in the MHz-sampling range using a low-resolution diode array by showing experimental results.
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Benign and Malignant Classification of Human Colorectal Tissue by Acoustic-Resolution Photoacoustic Microscopy

TL;DR: Wang et al. as discussed by the authors performed time-frequency analysis on PA signals from benign and malignant colorectal tissues leveraging continuous wavelet transform, which paves the way for judging the depth of invasion of colon cancer.
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Photoacoustic imaging on its way toward clinical utility: a tutorial review focusing on practical application in medicine

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Super Acoustic Resolution Photoacoustic Microscopy Imaging Enhancement

TL;DR: In this paper , both learning-based and model-based algorithms are proposed to enhance the raw AR-PAM imaging results, and the enhancement results for synthetic and in-vivo ARPAM images have proved the resolution has been enhanced more than 10 times, which exceed the physical resolution limit of AR-pAM and achieved super acoustic resolution imaging.
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