Estimation of the flow of particles within a partition of the image domain in fluorescence video-microscopy

T. Pécot, J. Boulanger, C. Kervrann, P. Bouthemy, J. Salamero
{"title":"Estimation of the flow of particles within a partition of the image domain in fluorescence video-microscopy","authors":"T. Pécot, J. Boulanger, C. Kervrann, P. Bouthemy, J. Salamero","doi":"10.1109/ISBI.2014.6867906","DOIUrl":null,"url":null,"abstract":"Automatic analysis of the dynamic content in fluorescence video-microscopy is crucial for understanding molecular mechanisms involved in cell functions. In this paper, we propose an original approach for analyzing particle trafficking in these sequences. Instead of individually tracking every particle, we estimate the particle flows between predefined regions. This approach allows us to process image sequences with a high number of particles and a low frame rate. We investigate several ways to estimate the particle flow at the cellular level and evaluate their performance in synthetic and real image sequences.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBI.2014.6867906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Automatic analysis of the dynamic content in fluorescence video-microscopy is crucial for understanding molecular mechanisms involved in cell functions. In this paper, we propose an original approach for analyzing particle trafficking in these sequences. Instead of individually tracking every particle, we estimate the particle flows between predefined regions. This approach allows us to process image sequences with a high number of particles and a low frame rate. We investigate several ways to estimate the particle flow at the cellular level and evaluate their performance in synthetic and real image sequences.
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
荧光视频显微镜中图像区域内粒子流动的估计
荧光视频显微镜中动态内容的自动分析对于理解参与细胞功能的分子机制至关重要。在本文中,我们提出了一种新颖的方法来分析这些序列中的粒子运输。我们不是单独跟踪每个粒子,而是估计预定义区域之间的粒子流。这种方法允许我们处理具有大量粒子和低帧率的图像序列。我们研究了几种在细胞水平上估计粒子流的方法,并评估了它们在合成和真实图像序列中的性能。
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
MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT DTI-DeformIt: Generating ground-truth validation data for diffusion tensor image analysis tasks Functional parcellation of the hippocampus by clustering resting state fMRI signals Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model Topological texture-based method for mass detection in breast ultrasound image
×
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