Revolutionizing biomedical discovery with multi-spectral optoacoustic tomography (MSOT)

Vasilis Ntziachnstos
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Abstract

Optical imaging is unequivocally the most versatile and widely used visualization modality in clinical practice and life sciences research. In recent years, advances in photonic technologies and image formation methods have received particular attention in biological research and the drug discovery process for non-invasively revealing information on the molecular basis of disease and treatment. An increasing availability of endogenous reporters such as fluorescent proteins and probes with physiological and molecular specificity enable insights to cellular and sub-cellular processes through entire small animals, embryos, fish and insects and have revolutionized the role of imaging on the laboratory bench, well beyond the capability of conventional microscopy. This talk describes current progress with instruments and methods for in-vivo photonic tomography of whole intact animals and model biological organisms. We show how new tomographic concepts are necessary for accurate and quantitative molecular investigations in tissues and why it could be potentially a valuable tool for accelerated investigations of therapeutic efficacy and outcome. We further demonstrate that cellular function and bio-chemical changes can be detected in-vivo, through intact tissues at high sensitivity and molecular specificity. Examples of imaging enzyme up-regulation, carcinogenesis and gene-expression are given. The potential for clinical translation is further outlined. Limitations of the method and future directions are also discussed.
利用多光谱光声断层扫描(MSOT)革新生物医学发现
光学成像无疑是临床实践和生命科学研究中最通用和最广泛使用的可视化方式。近年来,光子技术和成像方法的进步在生物研究和药物发现过程中受到特别关注,以非侵入性地揭示疾病和治疗的分子基础信息。越来越多的内源性报告,如荧光蛋白和具有生理和分子特异性的探针,使人们能够通过整个小动物、胚胎、鱼类和昆虫了解细胞和亚细胞过程,并彻底改变了实验室工作台上成像的作用,远远超出了传统显微镜的能力。本讲座介绍了完整动物和模式生物体内光子断层扫描的仪器和方法的最新进展。我们展示了新的层析成像概念对于组织中精确和定量的分子研究是必要的,以及为什么它可能是加速研究治疗效果和结果的潜在有价值的工具。我们进一步证明,细胞功能和生化变化可以通过完整的组织在体内以高灵敏度和分子特异性检测。给出了成像酶上调、致癌和基因表达的例子。进一步概述了临床翻译的潜力。讨论了该方法的局限性和未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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