Optical-resolution photoacoustic microscopy with a needle-shaped beam

Cao, Rui; Zhao, Jingjing; Li, Lei; Du, Lin; Zhang, Yide; Luo, Yilin; Jiang, Laiming; Davis, Samuel P. X.; Zhou, Qifa; Zerda, Adam de la; Wang, Lihong V.

doi:10.1038/s41566-022-01112-w

Cited by 60 publications

(45 citation statements)

References 47 publications

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“…This allows for a full DMD frame rate of 22 kHz, representing a ten-fold speed-up compared to temporal multiplexing methods and at least a 50-fold speed-up compared to LC-SLMs. Alternatively, the excess frame rate can be leveraged for extended projection depth in microscopy [72] or higher spectral resolution in hyperspectral imaging [73].…”

Section: Discussionmentioning

confidence: 99%

High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

Yu¹,

You²

2023

Preprint

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Achieving high-precision light manipulation is crucial for delivering information through complex media with high fidelity. However, existing spatial light modulation devices face a fundamental tradeoff between speed and accuracy, limiting their use in various real-time and qualitydemanding applications. To address this challenge, we propose a physics-based sparsity-constrained optimization framework for enhancing projection quality through complex media at a full DMD frame rate of 22 kHz. By addressing the limited degrees of freedom, scattering effect, and ill-posed and ill-conditioned nature of the inverse problem, our method achieves solutions with higher feasibility, optimality, and better numerical stability simultaneously. In addition, our method is system-agnositc and generalizable, showing consistent performance across different types of complex media. These results demonstrate the potential of our method in paving the way for high-fidelity and highspeed wavefront shaping in complex media, enabling a wide range of applications, such as non-invasive deep brain imaging, high-speed holographic optogenetics, and miniaturized fiber-based 3D printing devices.

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Section: Discussionmentioning

confidence: 99%

High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

Yu¹,

You²

2023

Preprint

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“…The single-wavelength methods can avoid these issues but have a risk of tissue damage or the lack of in-depth resolution [10][11][12]. To maintain the advantages of single-wavelength detection and the inherent characteristics of in-depth resolution in photoacoustic signal detection, while also improving the safety, speed, and stability of the measurement process [6,30,31], we propose a novel single-wavelength method that utilizes the GR nonlinear effects to calculate sO 2 .…”

Section: Discussionmentioning

confidence: 99%

Single‐wavelength sO₂ measurement based on Grüneisen‐relaxation photoacoustic effect

Wang

Xie

Zhang

et al. 2023

Journal of Biophotonics

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The photoacoustic effect-based sO 2 measurement is attracting more and more attention due to its non-invasiveness and accuracy. Compared with the linear dual-wavelength method, the sO 2 measurement based on single-wavelength excitation can be potentially applied with simplified system construction. However, the singlewavelength methods proposed in previous studies decreases the safety or lacks the in-depth resolution. This paper proposes a novel single-wavelength method based on the Grüneisenrelaxation (GR) nonlinear effects. It avoids the high fluence excitation with maintaining in-depth resolution and obtains the signals in hundreds of nanoseconds, simultaneously improving the safety and detection speed. The construction of a single laser source for GR effect generation makes the system stable. The sO 2 quantification results of blood samples have a good consistency with the reference values. Our work provides a safer and faster measurement method, and a stable system, to promote its application in the clinical area.

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“…As a major implementation of PAI, optical-resolution photoacoustic microscopy (OR-PAM) provides a high spatial resolution and abundant spectral information. However, this technique suffers from limited depth of field due to the strongly focused Gaussian beam, leading to the loss of critical details and affecting imaging quality [8,9] . In this paper, the U-Net semantic segmentation model is proposed to address the need for a large depth of field in PAM.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of the depth of field of photoacoustic microscopy based on deep learning

Hu,

Wang

et al. 2023

Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023)

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As a noninvasive biomedical imaging modality, photoacoustic imaging has shown great potential for clinical application recently with simultaneous high contrast and penetration depth. Optical-resolution photoacoustic microscopy is one important branch of photoacoustic imaging, which can achieve high spital resolution. However, this technique suffers from limited depth of field due to the strongly focused Gaussian beam used. With the development of deep learning in various medical imaging techniques, deep learning also has had a significant impact on the field of photoacoustic imaging in recent years. This paper presents a novel method to improve the depth of field of photoacoustic microscope by integrating the Unet semantic segmentation model with the simulation platform of photoacoustic microscopy based on k-Wave. First, we imaged the blood vessels on the simulation platform to obtain the vascular slice B-scan images and the corresponding ground truth images, and then the dataset was randomly divided into the training dataset and the testing dataset in a ratio of 7:1. During the U-Net model training process, the B-scan images serve as the input to the model while corresponding ground truth images serve as the labels. Finally, this study demonstrates the potential of the U-Net model to improve the depth of field of photoacoustic imaging. And this method effectively improves the accuracy of obtaining structural features of tissues, which has significant implications for the diagnosis and treatment of diseases.

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Optical-resolution photoacoustic microscopy with a needle-shaped beam

Cited by 60 publications

References 47 publications

High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

Single‐wavelength sO₂ measurement based on Grüneisen‐relaxation photoacoustic effect

Enhancement of the depth of field of photoacoustic microscopy based on deep learning

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Optical-resolution photoacoustic microscopy with a needle-shaped beam

Cited by 60 publications

References 47 publications

High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

Single‐wavelength sO2 measurement based on Grüneisen‐relaxation photoacoustic effect

Enhancement of the depth of field of photoacoustic microscopy based on deep learning

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Single‐wavelength sO₂ measurement based on Grüneisen‐relaxation photoacoustic effect