Dark-field super-oscillatory microscopy with high-pass super-oscillatory filters

Q3 Physics and Astronomy Results in Optics Pub Date : 2024-11-08 DOI:10.1016/j.rio.2024.100756
Yujie Shen , Wenyan Ou , Ye Zhang
{"title":"Dark-field super-oscillatory microscopy with high-pass super-oscillatory filters","authors":"Yujie Shen ,&nbsp;Wenyan Ou ,&nbsp;Ye Zhang","doi":"10.1016/j.rio.2024.100756","DOIUrl":null,"url":null,"abstract":"<div><div>Super-resolution imaging of transparent objects is particularly challenging due to the interference caused by background light. This interference can significantly degrade image quality by reducing contrast and obscuring fine details. In this work, high-pass super-oscillatory masks are designed to address this issue by filtering out the background light on the Fourier plane. The resolution of the corresponding super-oscillatory point-spread function is 0.66 times the diffraction limit, enabling the resolution of transparent objects with 67% transparency at sub-wavelength scales. Additionally, the high-pass super-oscillatory masks are designed for a 1080 × 1920 liquid-crystal spatial light modulator, making future experimental implementation straightforward. This facilitates easy switching between bright-field and dark-field super-oscillatory microscopy, broadening the range of application scenarios for the system.</div></div>","PeriodicalId":21151,"journal":{"name":"Results in Optics","volume":"17 ","pages":"Article 100756"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Optics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666950124001536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
引用次数: 0

Abstract

Super-resolution imaging of transparent objects is particularly challenging due to the interference caused by background light. This interference can significantly degrade image quality by reducing contrast and obscuring fine details. In this work, high-pass super-oscillatory masks are designed to address this issue by filtering out the background light on the Fourier plane. The resolution of the corresponding super-oscillatory point-spread function is 0.66 times the diffraction limit, enabling the resolution of transparent objects with 67% transparency at sub-wavelength scales. Additionally, the high-pass super-oscillatory masks are designed for a 1080 × 1920 liquid-crystal spatial light modulator, making future experimental implementation straightforward. This facilitates easy switching between bright-field and dark-field super-oscillatory microscopy, broadening the range of application scenarios for the system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用高通超振荡滤波器的暗场超振荡显微技术
由于背景光的干扰,透明物体的超分辨率成像尤其具有挑战性。这种干扰会降低对比度,掩盖精细细节,从而大大降低图像质量。在这项工作中,设计了高通超振荡掩膜,通过滤除傅立叶平面上的背景光来解决这一问题。相应的超振荡点扩散函数的分辨率是衍射极限的 0.66 倍,能够在亚波长尺度上分辨出透明度为 67% 的透明物体。此外,高通超振荡掩模是为 1080 × 1920 液晶空间光调制器设计的,使未来的实验实施变得简单易行。这便于在明场和暗场超振荡显微镜之间轻松切换,从而拓宽了该系统的应用范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Results in Optics
Results in Optics Physics and Astronomy-Atomic and Molecular Physics, and Optics
CiteScore
2.50
自引率
0.00%
发文量
115
审稿时长
71 days
期刊最新文献
Application of principal component analysis and Artificial neural networks for the prediction of QoS in FSO links over South Africa An efficient broadband metasurface design for smart health care and future communication applications An SMS fiber structure for seismocardiography (SCG) monitoring Editorial Board Optical dual gas sensor for biomedical monitoring of NO and O2 based on electrospun fibers containing CsPbBr3 QDs and PtTFPP
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1