小柯机器人

美国约翰霍普金斯大学医学院Pathak, Arvind P.团队开发了VascuViz，一种用于血管系统生物学的多模态和多尺度成像和可视化管道。2022年2月10日出版的《自然—方法学》发表了这项成果。

他们开发了“VascuViz”——一种易于使用的方法，用于在同一完整、未切片的组织中使用磁共振成像、计算机断层扫描和光学显微镜同时对血管微环境进行三维成像和可视化。 VascuViz 工作流程允许使用商业试剂通过单一标记步骤进行多模式成像，并且与多种组织类型和协议兼容。VascuViz 的跨学科实用程序与新的数据可视化方法相结合，为基于图像的血管系统生物学开辟了新的前景。

据介绍，尽管在成像方面取得了进步，但基于图像的血管系统生物学仍然具有挑战性，因为血管数据通常只能从单一模态或给定的空间尺度获得，而跨模态数据难以整合。因此，迫切需要一种多模态管道，该管道能够通过磁共振成像、计算机断层扫描和光学显微镜对同一样本进行离体血管成像，同时允许使用从整个器官到内皮细胞空间尺度的互补对比机制进行成像。

附：英文原文

Title: VascuViz: a multimodality and multiscale imaging and visualization pipeline for vascular systems biology

Author: Bhargava, Akanksha, Monteagudo, Benjamin, Kushwaha, Priyanka, Senarathna, Janaka, Ren, Yunke, Riddle, Ryan C., Aggarwal, Manisha, Pathak, Arvind P.

Issue&Volume: 2022-02-10

Abstract: Despite advances in imaging, image-based vascular systems biology has remained challenging because blood vessel data are often available only from a single modality or at a given spatial scale, and cross-modality data are difficult to integrate. Therefore, there is an exigent need for a multimodality pipeline that enables ex vivo vascular imaging with magnetic resonance imaging, computed tomography and optical microscopy of the same sample, while permitting imaging with complementary contrast mechanisms from the whole-organ to endothelial cell spatial scales. To achieve this, we developed ‘VascuViz’—an easy-to-use method for simultaneous three-dimensional imaging and visualization of the vascular microenvironment using magnetic resonance imaging, computed tomography and optical microscopy in the same intact, unsectioned tissue. The VascuViz workflow permits multimodal imaging with a single labeling step using commercial reagents and is compatible with diverse tissue types and protocols. VascuViz’s interdisciplinary utility in conjunction with new data visualization approaches opens up new vistas in image-based vascular systems biology.

DOI: 10.1038/s41592-021-01363-5

Source: https://www.nature.com/articles/s41592-021-01363-5

Nature Methods：《自然—方法学》，创刊于2004年。隶属于施普林格·自然出版集团，最新IF：47.99
官方网址：https://www.nature.com/nmeth/
投稿链接：https://mts-nmeth.nature.com/cgi-bin/main.plex