Lens-free through-focus super resolution holographic microscopy with novel phase retrieval algorithm (Conference Presentation)

Kyungwon Yun, Jaehyeon Son, Taewan Kim, Seung Beom Park, Jaehwang Jung, Dae‐jin Park, Do-Young Kim, Myungjun Lee
{"title":"Lens-free through-focus super resolution holographic microscopy with novel phase retrieval algorithm (Conference Presentation)","authors":"Kyungwon Yun, Jaehyeon Son, Taewan Kim, Seung Beom Park, Jaehwang Jung, Dae‐jin Park, Do-Young Kim, Myungjun Lee","doi":"10.1117/12.2551033","DOIUrl":null,"url":null,"abstract":"Lensfree digital holographic technique can become a powerful microscopic solution by adequately adapting a super resolution(SR) method together with an advanced phase retrieval algorithm. However, it comes at the cost of acquiring multiple images as well as processing large volume of data. Here, we present a multi-height based SR technique that can maximize the signal to noise ratio and the resolution, approximately 2.5 times over the actual pixel size of an image sensor, while minimizing computational cost by utilizing the much less set of the sub-pixel shifted images compared to the conventional SR methods.","PeriodicalId":306979,"journal":{"name":"Quantitative Phase Imaging VI","volume":"29 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Phase Imaging VI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2551033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Lensfree digital holographic technique can become a powerful microscopic solution by adequately adapting a super resolution(SR) method together with an advanced phase retrieval algorithm. However, it comes at the cost of acquiring multiple images as well as processing large volume of data. Here, we present a multi-height based SR technique that can maximize the signal to noise ratio and the resolution, approximately 2.5 times over the actual pixel size of an image sensor, while minimizing computational cost by utilizing the much less set of the sub-pixel shifted images compared to the conventional SR methods.
采用新型相位检索算法的无透镜透焦超分辨率全息显微镜(会议报告)
充分采用超分辨率(SR)方法和先进的相位恢复算法,无透镜数字全息技术可以成为一种强大的显微解决方案。然而,这是以获取多幅图像以及处理大量数据为代价的。在这里,我们提出了一种基于多高度的SR技术,该技术可以最大限度地提高信噪比和分辨率,大约是图像传感器实际像素大小的2.5倍,同时与传统的SR方法相比,通过利用更少的亚像素位移图像集来最大限度地降低计算成本。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信