A Statistical Focusing Metric for Fluorescent Microscopy

A. Çapar, Ramazan Cagac, Nurcan Komutan
{"title":"A Statistical Focusing Metric for Fluorescent Microscopy","authors":"A. Çapar, Ramazan Cagac, Nurcan Komutan","doi":"10.1109/SIU55565.2022.9864832","DOIUrl":null,"url":null,"abstract":"Autofocusing has critical importance for imaging systems with motorized microscopes in healthcare. It is not possible to diagnose on a picture that captured out of focus. In the literature, it has been observed that there are limited studies on focusing methods specific to fluorescent microscopes. In this study, a focus metric is proposed special to fluorescent microscope images. The proposed metric evaluates the responses generated by gradient filters of varying kernel size at a pixel point, and takes into account their standard deviations. The proposed method was tested on lung and breast tissue samples obtained with fluorescent microscope, and experimental results were reported. It is shown that the developed method overperforms the local gradient filters and produces an average error of 0.16 levels.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU55565.2022.9864832","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

Autofocusing has critical importance for imaging systems with motorized microscopes in healthcare. It is not possible to diagnose on a picture that captured out of focus. In the literature, it has been observed that there are limited studies on focusing methods specific to fluorescent microscopes. In this study, a focus metric is proposed special to fluorescent microscope images. The proposed metric evaluates the responses generated by gradient filters of varying kernel size at a pixel point, and takes into account their standard deviations. The proposed method was tested on lung and breast tissue samples obtained with fluorescent microscope, and experimental results were reported. It is shown that the developed method overperforms the local gradient filters and produces an average error of 0.16 levels.
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
荧光显微镜的统计聚焦度量
在医疗保健中,自动聚焦对于带有电动显微镜的成像系统至关重要。在失焦的照片上诊断是不可能的。在文献中,已经观察到对荧光显微镜特异性聚焦方法的研究有限。本文提出了一种针对荧光显微镜图像的聚焦度量方法。所提出的度量评估在像素点上不同核大小的梯度滤波器产生的响应,并考虑它们的标准差。用荧光显微镜对所得到的肺和乳腺组织样本进行了实验,并报道了实验结果。结果表明,该方法优于局部梯度滤波器,平均误差为0.16个水平。
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
自引率
0.00%
发文量
0
期刊最新文献
Traffic Prediction with Peak-Aware Temporal Graph Convolutional Networks Artificial Neural Network Based Fault Diagnostic System for Wind Turbines Remaining Useful Life Prediction on C-MAPSS Dataset via Joint Autoencoder-Regression Architecture A New Fast Walsh Hadamard Transform Spread UW-Optical-OFDM Waveform Indoor Localization with Transfer Learning
×
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