中国光学2021，Vol.14Issue(2)：431-445,15.DOI:10.37188/CO.2020-0120
线扫描虚拟结构调制共聚焦显微成像
Line-scanning confocal microscopic imaging based on virtual structured modulation
摘要
Abstract
Resolution in a confocal microscope is limited by the diffraction limit. Structured modulation has been proven to be able to achieve super-resolution in confocal microscopy, however, its limited speed in im-age acquisition limits its applicability in practical applications. In order to improve its imaging speed, we in-troduce a method that can achieve rapid super-resolution confocal microscopy by combining line-scanning and structured detection. A cylindrical lens is used to focus the light into a line, and a digital mask with a si-nusoidal function is used to modulate the descanned image in the light detection arm. Unlike the virtual struc-tured method, there is no need for a subsequent frequency shift process. In order to improve the isotropic res-olution of the system, a scanning angle of 0 ° and 90 ° is achieved by rotating the sample. Simulation and ex-periment results indicate that the spectrum width of coherent transfer function expands and the resolution is 1.4 times as large as that of a conventional confocal microscope. This method increases the system's imaging acquisition speed 104-fold when compared with a confocal structured modulation microscope that uses spot-scanning.关键词
线扫描共聚焦/超分辨/虚拟结构调制Key words
line-scanning confocal/super-resolution/virtual structured modulation分类
数理科学引用本文复制引用
赵家旺,张运海,王发民,缪新,施辛..线扫描虚拟结构调制共聚焦显微成像[J].中国光学,2021,14(2):431-445,15.基金项目
国家重点研发计划资助(No. 2017YFC0110303) （No. 2017YFC0110303）
济南市"高校20条"资助项目(No. 2018GXRC018) （No. 2018GXRC018）
山东省自然科学基金(No. ZR2019BF012) （No. ZR2019BF012）
苏州市民生科技项目(No. SS201643)Supported by National Key R&D Program of China (No. 2017YFC0110303) （No. SS201643）
Twenty Subsidized Projects of Colleges and Universities of Jinan (No. 2018GXRC018) （No. 2018GXRC018）
Provincial Natural Science Foundation of Shandong,China (No. ZR2019BF012) （No. ZR2019BF012）
People's Livelihood Foundation of Suzhou (No. SS201643) （No. SS201643）
