Advanced optoacoustic methods for multiscale imaging of in vivo dynamics.

Advanced optoacoustic methods for multiscale imaging of in vivo dynamics.
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DOI:
10.1039/c6cs00765a
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发表时间:
2017-04-18
影响因子:
46.2
通讯作者:
Razansky D
Razansky D
中科院分区:
化学1区
文献类型:
--
作者:
Deán-Ben XL;Gottschalk S;Mc Larney B;Shoham S;Razansky D

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在不受干扰的体内环境中可视化动态功能和分子事件对于理解生物体的复杂生物学以及疾病状态和进展至关重要。为此,光声(光声)传感和成像已经证明了在深层组织观察中保持优异光学对比度和高分辨率的独特能力,远远超出了现代显微镜的穿透限制。然而,时域对于观察和研究复杂的生物相互作用是至关重要的,这些相互作用可能在生命系统的单个快照中是不可见的。本文综述了在智能分子标记和动态对比度增强方法的辅助下,光声成像的最新进展,这些方法可以实现其他生物成像方式无法实现的新型多尺度动态观察。会议还讨论了一系列新的研究课题和临床应用,包括大规模脑活动模式的成像、运动器官的体积可视化和造影剂动力学、使用靶向和基因表达标签的分子成像,以及人类受试者的三维手持诊断。多尺度光声成像-从单细胞到整个生物体,从亚毫秒生物动力学到纵向研究,具有前所未有的图像质量。
Visualization of dynamic functional and molecular events in an unperturbed in vivo environment is essential for understanding the complex biology of living organisms and of disease state and progression. To this end, optoacoustic (photoacoustic) sensing and imaging have demonstrated the exclusive capacity to maintain excellent optical contrast and high resolution in deep-tissue observations, far beyond the penetration limits of modern microscopy. Yet, the time domain is paramount for the observation and study of complex biological interactions that may be invisible in single snapshots of living systems. This review focuses on the recent advances in optoacoustic imaging assisted by smart molecular labeling and dynamic contrast enhancement approaches that enable new types of multiscale dynamic observations not attainable with other bio-imaging modalities. A wealth of investigated new research topics and clinical applications is further discussed, including imaging of large-scale brain activity patterns, volumetric visualization of moving organs and contrast agent kinetics, molecular imaging using targeted and genetically expressed labels, as well as three-dimensional handheld diagnostics of human subjects. Multi-scale optoacoustic imaging - from single cells to whole organisms, from sub-millisecond biological dynamics to longitudinal studies with unprecedented image quality.