Line scanning, fiber bundle fluorescence HiLo endomicroscopy with confocal slit detection
File(s)116501_1.pdf (2.82 MB)
Published version
Author(s)
Zhang, Haojie
Khushi, Vyas
Yang, Guang-Zhong
Type
Journal Article
Abstract
Fiber bundle fluorescence endomicroscopy is an effective method for in vivo imaging of biological tissue samples. Line-scanning confocal laser endomicroscopy realizes confocal imaging at a much higher frame rate compared to the point scanning system, but with reduced optical sectioning. To address this problem, we describe a fiber bundle endomicroscopy system that utilizes the HiLo technique to enhance the optical sectioning while still maintaining high image acquisition rates. Confocal HiLo endomicroscopy is achieved by synchronizing the scanning hybrid-illumination laser line with the rolling shutter of a CMOS camera. An evident improvement of axial sectioning is achieved as compared to the line-scanning confocal endomicroscopy without the HiLo technique. Comparisons are also made with epifluorescence endomicroscopy with and without HiLo. The optical sectioning enhancement is demonstrated on lens tissue as well as porcine kidney tissue
Date Issued
2019-11-13
Date Acceptance
2019-10-07
Citation
Journal of Biomedical Optics, 2019, 24 (11)
ISSN
1083-3668
Publisher
Society of Photo-optical Instrumentation Engineers
Journal / Book Title
Journal of Biomedical Optics
Volume
24
Issue
11
Copyright Statement
© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. [DOI: 10.1117/1.JBO.24.11.116501]
License URL
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/N019318/1
Subjects
biomedical imaging
fluorescence
optical microscopy
spatial light modulators
Optics
0205 Optical Physics
1113 Opthalmology and Optometry
0903 Biomedical Engineering
Publication Status
Published
Article Number
ARTN 116501
Date Publish Online
2019-11-13