4.8 Article

Recent progress in near-infrared photoacoustic imaging

Journal

BIOSENSORS & BIOELECTRONICS
Volume 191, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2021.113478

Keywords

Photoacoustic imaging; Near-infrared; Contrast agents; Multimodal imaging; Biomedical application

Funding

  1. Excellent Young Scientists Fund [22022407]
  2. National Natural Science Foundation of China [21874008, 22004006]
  3. Special Foundation for State Major Research Program of China [2019YFC1606603]
  4. Major Program of the National Natural Science Foundation of China [21890740, 21890742]

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The emergence of photoacoustic imaging (PAI) has greatly expanded the application of biomolecules bioimaging, especially in near-infrared (NIR) PAI which shows great potential in biomedical applications. Comparing different imaging modalities and focusing on the strategies used to improve contrast and performance in NIR-PAI are essential for enhancing imaging accuracy. Challenges and prospects in accelerating the development of PAI are identified to attract more researchers in this field.
The emergence of the photoacoustic imaging (PAI) expands the application of biomolecules bioimaging in cells, various tissues, and living body to monitor multiple physiological processes in complex internal environments. The PAI possesses intriguing properties such as non-invasive, highly selective excitation, and weak signal attenuation. Especially, the near-infrared (NIR) PAI displays low optical absorption and scattering, good temporal or spatial resolution and deep penetration, holds great potential in biomedical applications. We briefly compare different imaging modalities to provide a comprehensive understanding of their characteristics and related applications, highlighting the feature of the PAI. The principle of PAI is then delineated and the emerging NIR-PAI is discussed. We then focus on elaboration of the recent achievement of typical NIR-PAI contrast and their biomedical applications, especially the strategies used to improve contrast rational design and PAI performance are summarized. The PAI-related multimodal imaging approaches for improving imaging accuracy are also covered in the review. Finally, the challenges and prospective are pointed out for attracting more researchers to accelerate the development of PAI.

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