Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Nat Commun. 2021 Jun 15;12(1):3648. doi: 10.1038/s41467-021-23951-x.
Innovations in high-resolution optical imaging have allowed visualization of nanoscale biological structures and connections. However, super-resolution fluorescence techniques, including both optics-oriented and sample-expansion based, are limited in quantification and throughput especially in tissues from photobleaching or quenching of the fluorophores, and low-efficiency or non-uniform delivery of the probes. Here, we report a general sample-expansion vibrational imaging strategy, termed VISTA, for scalable label-free high-resolution interrogations of protein-rich biological structures with resolution down to 78 nm. VISTA achieves decent three-dimensional image quality through optimal retention of endogenous proteins, isotropic sample expansion, and deprivation of scattering lipids. Free from probe-labeling associated issues, VISTA offers unbiased and high-throughput tissue investigations. With correlative VISTA and immunofluorescence, we further validated the imaging specificity of VISTA and trained an image-segmentation model for label-free multi-component and volumetric prediction of nucleus, blood vessels, neuronal cells and dendrites in complex mouse brain tissues. VISTA could hence open new avenues for versatile biomedical studies.
高分辨率光学成象技术的创新使得对纳米级生物结构和连接的可视化成为可能。然而,包括基于光学和基于样品扩展的超分辨率荧光技术在定量和通量方面受到限制,特别是在荧光团的光漂白或猝灭的组织中,以及探针的低效或非均匀传递。在这里,我们报告了一种通用的样品扩展振动成像策略,称为 VISTA,用于可扩展的无标记高分辨率探测富含蛋白质的生物结构,分辨率低至 78nm。VISTA 通过最佳保留内源性蛋白质、各向同性样品扩展和去除散射脂质来实现良好的三维图像质量。由于不涉及探针标记相关问题,VISTA 提供了无偏和高通量的组织研究。通过相关的 VISTA 和免疫荧光,我们进一步验证了 VISTA 的成像特异性,并训练了一个无标记多组分和体积预测的图像分割模型,用于复杂的小鼠脑组织中的核、血管、神经元细胞和树突。因此,VISTA 为多功能生物医学研究开辟了新途径。