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Fast volumetric imaging with line-scan confocal microscopy by electrically tunable lens at resonant frequency

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Abstract
In microscopic imaging of biological tissues, particularly real-time visualization of neuronal activities, rapid acquisition of volumetric images poses a prominent challenge. Typically, two-dimensional (2D) microscopy can be devised into an imaging system with 3D capability using any varifocal lens. Despite the conceptual simplicity, such an upgrade yet requires additional, complicated device components and usually suffers from a reduced acquisition rate, which is critical to properly document rapid neurophysiological dynamics. In this study, we implemented an electrically tunable lens (ETL) in the line-scan confocal microscopy (LSCM), enabling the volumetric acquisition at the rate of 20 frames per second with a maximum volume of interest of 315 x 315 x 80 mu m(3). The axial extent of point-spread-function (PSF) was 17.6 +/- 1.6 mu m and 90.4 +/- 2.1 mu m with the ETL operating in either stationary or resonant mode, respectively, revealing significant depth axial penetration by the resonant mode ETL microscopy. We further demonstrated the utilities of the ETL system by volume imaging of both cleared mouse brain ex vivo samples and in vivo brains. The current study showed a successful application of resonant ETL for constructing a high-performance 3D axially scanning LSCM (asLSCM) system. Such advances in rapid volumetric imaging would significantly enhance our understanding of various dynamic biological processes. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
Author(s)
Mac, Khuong DuyQureshi, Muhammad MohsinNa, MyeongsuChang, SunghoeEom, Tae JoongJe, Hyunsoo ShawnKim, Young RoKwon, Hyuk-SangChung, Euiheon
Issued Date
2022-05
Type
Article
DOI
10.1364/OE.450745
URI
https://scholar.gist.ac.kr/handle/local/10821
Publisher
Optica Publishing Group
Citation
OPTICS EXPRESS, v.30, no.11, pp.19152 - 19164
ISSN
1094-4087
Appears in Collections:
Department of Biomedical Science and Engineering > 1. Journal Articles
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