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利用结构光照明显微镜对神经元结构进行超分辨率成像。

Super-Resolution Imaging of Neuronal Structures with Structured Illumination Microscopy.

作者信息

Paul Tristan C, Johnson Karl A, Hagen Guy M

机构信息

UCCS BioFrontiers Center, University of Colorado Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, CO 80918, USA.

出版信息

Bioengineering (Basel). 2023 Sep 13;10(9):1081. doi: 10.3390/bioengineering10091081.

Abstract

Super-resolution structured illumination microscopy (SR-SIM) is an optical fluorescence microscopy method which is suitable for imaging a wide variety of cells and tissues in biological and biomedical research. Typically, SIM methods use high spatial frequency illumination patterns generated by laser interference. This approach provides high resolution but is limited to thin samples such as cultured cells. Using a different strategy for processing raw data and coarser illumination patterns, we imaged through a 150-micrometer-thick coronal section of a mouse brain expressing GFP in a subset of neurons. The resolution reached 144 nm, an improvement of 1.7-fold beyond conventional widefield imaging.

摘要

超分辨率结构光照明显微镜(SR-SIM)是一种光学荧光显微镜方法,适用于生物和生物医学研究中对各种细胞和组织进行成像。通常,结构光照明显微镜方法使用由激光干涉产生的高空间频率照明图案。这种方法提供了高分辨率,但仅限于诸如培养细胞等薄样本。我们采用不同的策略处理原始数据并使用更粗的照明图案,通过对小鼠大脑中一部分神经元表达绿色荧光蛋白(GFP)的150微米厚冠状切片进行成像。分辨率达到了144纳米,比传统宽场成像提高了1.7倍。

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