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下一代质谱成像:从微米分辨率到亚细胞分辨率

Next Generation of Mass Spectrometry Imaging: from Micrometer to Subcellular Resolution.

作者信息

Xing Lei, Zhao Cong-Lin, Mou Han-Zhang, Pan JianBin, Kang Bin, Chen Hong-Yuan, Xu Jing-Juan

机构信息

State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.

出版信息

Chem Biomed Imaging. 2023 Jul 24;1(8):670-682. doi: 10.1021/cbmi.3c00061. eCollection 2023 Nov 27.

Abstract

Developing an imaging method with micrometer-to-subcellular resolution is of great significance for visualizing biological samples of different sizes. The label-free and high-throughput mass spectrometry imaging (MSI) technology has shown potential in the implementation of this view. Despite many improvements in MSI witnessed over the past decades, it remains a challenge to achieve a flexible resolution from micrometer down to subcellular level with high detection sensitivity. In this Perspective, we focus on the recent development of MSI techniques based on different ionization resources. Furthermore, several designs of instruments and applications in bioimaging have been reviewed and compared. Additionally, we proposed the perspectives and challenges for MSI methods, including pursuing the matrix free and multiscale resolution with high detection sensitivity and deeply combining machine learning in omics research.

摘要

开发一种具有微米到亚细胞分辨率的成像方法对于可视化不同大小的生物样本具有重要意义。无标记和高通量质谱成像(MSI)技术在实现这一愿景方面已显示出潜力。尽管在过去几十年中MSI有了许多改进,但要以高检测灵敏度实现从微米到亚细胞水平的灵活分辨率仍然是一个挑战。在这篇观点文章中,我们重点关注基于不同电离源的MSI技术的最新发展。此外,还对生物成像中的几种仪器设计和应用进行了综述和比较。此外,我们提出了MSI方法的前景和挑战,包括追求无基质和多尺度分辨率以及高检测灵敏度,并在组学研究中深度结合机器学习。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7bc/11504503/424df81ac170/im3c00061_0001.jpg

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