用受激拉曼散射显微镜筛选振动光谱电压指示器（Small Methods 9/2025）

IF 9.1 2区材料科学 Q1 CHEMISTRY, PHYSICAL

Small Methods Pub Date : 2025-09-26 DOI:10.1002/smtd.70042

Jingyuan Li, Ninghui Shao, Yongqing Zhang, Xingxin Liu, Hanbin Zhang, Liangfei Tian, Kiryl D. Piatkevich, Delong Zhang, Hyeon Jeong Lee

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引用次数: 0

摘要

膜电位的光学成像已经成为神经科学研究的重要工具，新的电压指示器的开发代表着向更敏感和定量测量迈出的关键一步。在文章编号2402124中，Zhang、Lee及其同事提出了一种新的筛选策略，该策略将高光谱刺激拉曼散射显微镜与诱导跨膜电压刺激（hSRS-ITV）相结合，以识别遗传编码电压指标（vGEVIs）的振动特征。这种多模态成像平台推动了振动光谱电压成像作为一种检测哺乳动物细胞膜电位的新模式的发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Screening of Vibrational Spectroscopic Voltage Indicator by Stimulated Raman Scattering Microscopy (Small Methods 9/2025)

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Screening of Vibrational Spectroscopic Voltage Indicator by Stimulated Raman Scattering Microscopy (Small Methods 9/2025)

Inside Back Cover

Optical imaging of membrane potential has emerged as an essential tool in neuroscience research, with the development of new voltage indicators representing a crucial step toward more sensitive and quantitative measurements. In article number 2402124, Zhang, Lee, and co-workers present a novel screening strategy that combines hyperspectral stimulated Raman scattering microscopy with induced transmembrane voltage stimulation (hSRS-ITV) to identify vibrational signatures in genetically encoded voltage indicators (vGEVIs). This multimodal imaging platform advances the development of vibrational spectroscopic voltage imaging as a new modality for detecting membrane potential in mammalian cells.

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来源期刊

Small Methods Materials Science-General Materials Science

CiteScore

17.40

自引率

1.60%

发文量

347

期刊介绍： Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.