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优化多行扫描共聚焦显微镜的性能。

Optimizing the performance of multiline-scanning confocal microscopy.

作者信息

Weng Chun Hung, Tang Jialei, Han Kyu Young

机构信息

CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, Florida, USA.

出版信息

J Phys D Appl Phys. 2020 Mar 11;54(10). doi: 10.1088/1361-6463/abc84b. Epub 2020 Dec 23.

Abstract

Line-scanning confocal microscopy provides high imaging speed and moderate optical sectioning strength, which makes it a useful tool for imaging various biospecimens ranging from living cells to fixed tissues. Conventional line-scanning systems have only used a single excitation line and slit, and thus have not fully exploited benefits of parallelization. Here we investigate the optical performance of multi-line scanning confocal microscopy (mLS) by employing a digital micro-mirror that provides programmable patterns of the illumination beam and the detection slit. Through experimental results and optical simulations, we assess the depth discrimination of mLS under different optical parameters and compare it with multi-point systems such as scanning disk confocal microscopy (SDCM). Under the same illumination duty cycle, we find that mLS has better optical sectioning than SDCM at a high degree of parallelization. The optimized mLS provides a low photobleaching rate and video-rate imaging while its optical sectioning is similar to single line-scanning confocal microscopy.

摘要

线扫描共聚焦显微镜提供了高成像速度和适度的光学切片能力,这使其成为对从活细胞到固定组织等各种生物样本进行成像的有用工具。传统的线扫描系统仅使用单一激发线和狭缝,因此尚未充分利用并行化的优势。在此,我们通过采用数字微镜来研究多线扫描共聚焦显微镜(mLS)的光学性能,该数字微镜可提供照明光束和检测狭缝的可编程图案。通过实验结果和光学模拟,我们评估了mLS在不同光学参数下的深度分辨能力,并将其与诸如扫描盘共聚焦显微镜(SDCM)等多点系统进行比较。在相同的照明占空比下,我们发现mLS在高度并行化时具有比SDCM更好的光学切片能力。优化后的mLS提供了低光漂白率和视频速率成像,同时其光学切片能力与单线扫描共聚焦显微镜相似。

相似文献

1
Optimizing the performance of multiline-scanning confocal microscopy.优化多行扫描共聚焦显微镜的性能。
J Phys D Appl Phys. 2020 Mar 11;54(10). doi: 10.1088/1361-6463/abc84b. Epub 2020 Dec 23.

本文引用的文献

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Curr Opin Chem Biol. 2019 Aug;51:74-83. doi: 10.1016/j.cbpa.2019.05.011. Epub 2019 Jun 13.
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J Biomed Opt. 2017 May 1;22(5):50502. doi: 10.1117/1.JBO.22.5.050502.

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