Deep learning acceleration of multiscale superresolution localization photoacoustic imaging DOI Creative Commons
Jongbeom Kim, Gyuwon Kim, Lei Li

et al.

Light Science & Applications, Journal Year: 2022, Volume and Issue: 11(1)

Published: May 12, 2022

A superresolution imaging approach that localizes very small targets, such as red blood cells or droplets of injected photoacoustic dye, has significantly improved spatial resolution in various biological and medical modalities. However, this superior is achieved by sacrificing temporal because many raw image frames, each containing the localization target, must be superimposed to form a sufficiently sampled high-density image. Here, we demonstrate computational strategy based on deep neural networks (DNNs) reconstruct images from far fewer frames. The can applied for both 3D label-free optical-resolution microscopy (OR-PAM) 2D labeled computed tomography (PACT). For former, required number volumetric frames reduced tens than ten. latter, 12 fold. Therefore, our proposed method simultaneously (via DNN) method) resolutions tomography. Deep-learning powered PA potentially provide practical tool preclinical clinical studies requiring fast fine resolutions.

Language: Английский

In vivo three-dimensional multispectral photoacoustic imaging of dual enzyme-driven cyclic cascade reaction for tumor catalytic therapy DOI Creative Commons
Lei Shan, Jing Zhang,

Nicholas Thomas Blum

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: March 11, 2022

Abstract Non-invasive visualization of dynamic molecular events in real-time via imaging may enable the monitoring cascade catalytic reactions living systems, however effective modalities and a robust reaction system are lacking. Here we utilize three-dimensional (3D) multispectral photoacoustic (PA) to monitor vivo therapy based on dual enzyme-driven cyclic platform. The consists two-dimensional (2D) Pd-based nanozyme conjugated with glucose oxidase (GOx). combination GOx can induce PA signal variation endogenous molecules. Combined response nanozyme, simultaneously map 3D signals exogenous molecules associated process, thus providing non-invasive visualization. We also treat tumors under navigation imaging. Therefore, our study demonstrates imaging-guided potential feedback-looped therapy.

Language: Английский

Citations

156

Recent Advances in Contrast-Enhanced Photoacoustic Imaging: Overcoming the Physical and Practical Challenges DOI
Wonseok Choi, Byullee Park, Seongwook Choi

et al.

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(11), P. 7379 - 7419

Published: Jan. 16, 2023

For decades now, photoacoustic imaging (PAI) has been investigated to realize its potential as a niche biomedical modality. Despite highly desirable optical contrast and ultrasonic spatiotemporal resolution, PAI is challenged by such physical limitations low signal-to-noise ratio (SNR), diminished image due strong attenuation, lower-bound on spatial resolution in deep tissue. In addition, contrast-enhanced faced practical insufficient cell-specific targeting delivery efficiency difficulties developing clinically translatable agents. Identifying these essential the continuing expansion of field, substantial advances contrast-enhancing agents, complemented high-performance acquisition systems, have synergistically dealt with challenges conventional PAI. This review covers past four years research pushing terms SNR/contrast, targeted delivery, clinical application. Promising strategies for dealing each challenge are reviewed detail, future directions next generation discussed.

Language: Английский

Citations

122

Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy DOI
Rui Cao, Scott D. Nelson, Samuel P. X. Davis

et al.

Nature Biomedical Engineering, Journal Year: 2022, Volume and Issue: 7(2), P. 124 - 134

Published: Sept. 19, 2022

Language: Английский

Citations

102

Real-time whole-brain imaging of hemodynamics and oxygenation at micro-vessel resolution with ultrafast wide-field photoacoustic microscopy DOI Creative Commons
Xiaoyi Zhu, Qiang Huang, Anthony DiSpirito

et al.

Light Science & Applications, Journal Year: 2022, Volume and Issue: 11(1)

Published: May 16, 2022

High-speed high-resolution imaging of the whole-brain hemodynamics is critically important to facilitating neurovascular research. High speed and image quality are crucial visualizing real-time in complex brain vascular networks, tracking fast pathophysiological activities at microvessel level, which will enable advances current queries metabolism research, including stroke, dementia, acute injury. Further, oxygen saturation hemoglobin (sO2) can capture fast-paced delivery dynamics, needed solve pertinent questions these fields beyond. Here, we present a novel ultrafast functional photoacoustic microscopy (UFF-PAM) oxygenation. UFF-PAM takes advantage several key engineering innovations, stimulated Raman scattering (SRS) based dual-wavelength laser excitation, water-immersible 12-facet-polygon scanner, high-sensitivity ultrasound transducer, deep-learning-based upsampling. A volumetric rate 2 Hz has been achieved over field view (FOV) 11 × 7.5 1.5 mm3 with high spatial resolution ~10 μm. Using system, have demonstrated proof-of-concept studies on mouse brains response systemic hypoxia, sodium nitroprusside, stroke. We observed brain's morphological changes entire cortex, vasoconstriction, vasodilation, deoxygenation. More interestingly, for first time, FOV micro-vessel resolution, captured vasoconstriction hypoxia simultaneously spreading depolarization (SD) wave. expect new technology provide great potential fundamental research under various pathological physiological conditions.

Language: Английский

Citations

94

Deep learning acceleration of multiscale superresolution localization photoacoustic imaging DOI Creative Commons
Jongbeom Kim, Gyuwon Kim, Lei Li

et al.

Light Science & Applications, Journal Year: 2022, Volume and Issue: 11(1)

Published: May 12, 2022

A superresolution imaging approach that localizes very small targets, such as red blood cells or droplets of injected photoacoustic dye, has significantly improved spatial resolution in various biological and medical modalities. However, this superior is achieved by sacrificing temporal because many raw image frames, each containing the localization target, must be superimposed to form a sufficiently sampled high-density image. Here, we demonstrate computational strategy based on deep neural networks (DNNs) reconstruct images from far fewer frames. The can applied for both 3D label-free optical-resolution microscopy (OR-PAM) 2D labeled computed tomography (PACT). For former, required number volumetric frames reduced tens than ten. latter, 12 fold. Therefore, our proposed method simultaneously (via DNN) method) resolutions tomography. Deep-learning powered PA potentially provide practical tool preclinical clinical studies requiring fast fine resolutions.

Language: Английский

Citations

84