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具有自适应光学校正的体积光片成像

Volumetric light sheet imaging with adaptive optics correction.

作者信息

Liu Yang, Liu Bingxi, Green John, Duffy Carly, Song Ming, Lauderdale James D, Kner Peter

机构信息

School of Electrical and Computer Engineering, University of Georgia, Athens, GA 30602, USA.

Dept. of Cellular Biology, University of Georgia, Athens, GA 30602, USA.

出版信息

Biomed Opt Express. 2023 Mar 29;14(4):1757-1771. doi: 10.1364/BOE.473237. eCollection 2023 Apr 1.

Abstract

Light sheet microscopy has developed quickly over the past decades and become a popular method for imaging live model organisms and other thick biological tissues. For rapid volumetric imaging, an electrically tunable lens can be used to rapidly change the imaging plane in the sample. For larger fields of view and higher NA objectives, the electrically tunable lens introduces aberrations in the system, particularly away from the nominal focus and off-axis. Here, we describe a system that employs an electrically tunable lens and adaptive optics to image over a volume of 499 × 499 × 192 m with close to diffraction-limited resolution. Compared to the system without adaptive optics, the performance shows an increase in signal to background ratio by a factor of 3.5. While the system currently requires 7s/volume, it should be straightforward to increase the imaging speed to under 1s per volume.

摘要

在过去几十年中,光片显微镜发展迅速,已成为对活体模型生物和其他厚生物组织进行成像的常用方法。对于快速体积成像,电可调谐透镜可用于快速改变样品中的成像平面。对于更大的视野和更高数值孔径的物镜,电可调谐透镜会在系统中引入像差,特别是在远离标称焦点和离轴的情况下。在此,我们描述了一种使用电可调谐透镜和自适应光学技术的系统,该系统能够以接近衍射极限的分辨率对499×499×192μm的体积进行成像。与没有自适应光学技术的系统相比,该系统的性能将信噪比提高了3.5倍。虽然该系统目前每体积需要7秒,但将成像速度提高到每体积1秒以下应该很容易实现。

相似文献

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Volumetric light sheet imaging with adaptive optics correction.具有自适应光学校正的体积光片成像
Biomed Opt Express. 2023 Mar 29;14(4):1757-1771. doi: 10.1364/BOE.473237. eCollection 2023 Apr 1.
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Adaptive optics in super-resolution microscopy.超分辨率显微镜中的自适应光学技术。
Biophys Rep. 2021 Aug 31;7(4):267-279. doi: 10.52601/bpr.2021.210015.

本文引用的文献

8
Light-Sheet Microscopy in Neuroscience.神经科学中的光片显微镜技术。
Annu Rev Neurosci. 2019 Jul 8;42:295-313. doi: 10.1146/annurev-neuro-070918-050357.

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