APM_GUI:分析颗粒在细胞膜上的运动并确定约束。

Q1 Biochemistry, Genetics and Molecular Biology
Silvia A Menchón, Mauricio G Martín, Carlos G Dotti
{"title":"APM_GUI:分析颗粒在细胞膜上的运动并确定约束。","authors":"Silvia A Menchón,&nbsp;Mauricio G Martín,&nbsp;Carlos G Dotti","doi":"10.1186/2046-1682-5-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Single-particle tracking is a powerful tool for tracking individual particles with high precision. It provides useful information that allows the study of diffusion properties as well as the dynamics of movement. Changes in particle movement behavior, such as transitions between Brownian motion and temporary confinement, can reveal interesting biophysical interactions. Although useful applications exist to determine the paths of individual particles, only a few software implementations are available to analyze these data, and these implementations are generally not user-friendly and do not have a graphical interface,.</p><p><strong>Results: </strong>Here, we present APM_GUI (Analyzing Particle Movement), which is a MatLab-implemented application with a Graphical User Interface. This user-friendly application detects confined movement considering non-random confinement when a particle remains in a region longer than a Brownian diffusant would remain. In addition, APM_GUI exports the results, which allows users to analyze this information using software that they are familiar with.</p><p><strong>Conclusions: </strong>APM_GUI provides an open-source tool that quantifies diffusion coefficients and determines whether trajectories have non-random confinements. It also offers a simple and user-friendly tool that can be used by individuals without programming skills.</p>","PeriodicalId":9045,"journal":{"name":"BMC Biophysics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/2046-1682-5-4","citationCount":"12","resultStr":"{\"title\":\"APM_GUI: analyzing particle movement on the cell membrane and determining confinement.\",\"authors\":\"Silvia A Menchón,&nbsp;Mauricio G Martín,&nbsp;Carlos G Dotti\",\"doi\":\"10.1186/2046-1682-5-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Single-particle tracking is a powerful tool for tracking individual particles with high precision. It provides useful information that allows the study of diffusion properties as well as the dynamics of movement. Changes in particle movement behavior, such as transitions between Brownian motion and temporary confinement, can reveal interesting biophysical interactions. Although useful applications exist to determine the paths of individual particles, only a few software implementations are available to analyze these data, and these implementations are generally not user-friendly and do not have a graphical interface,.</p><p><strong>Results: </strong>Here, we present APM_GUI (Analyzing Particle Movement), which is a MatLab-implemented application with a Graphical User Interface. This user-friendly application detects confined movement considering non-random confinement when a particle remains in a region longer than a Brownian diffusant would remain. In addition, APM_GUI exports the results, which allows users to analyze this information using software that they are familiar with.</p><p><strong>Conclusions: </strong>APM_GUI provides an open-source tool that quantifies diffusion coefficients and determines whether trajectories have non-random confinements. It also offers a simple and user-friendly tool that can be used by individuals without programming skills.</p>\",\"PeriodicalId\":9045,\"journal\":{\"name\":\"BMC Biophysics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/2046-1682-5-4\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Biophysics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/2046-1682-5-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Biophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/2046-1682-5-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 12

摘要

背景:单粒子跟踪是一种高精度跟踪单个粒子的强大工具。它提供了有用的信息,允许研究扩散特性以及运动动力学。粒子运动行为的变化,如布朗运动和临时约束之间的转变,可以揭示有趣的生物物理相互作用。虽然存在有用的应用程序来确定单个粒子的路径,但只有少数软件实现可用于分析这些数据,而且这些实现通常不是用户友好的,也没有图形界面。在这里,我们提出了APM_GUI(分析粒子运动),这是一个具有图形用户界面的matlab实现的应用程序。这个用户友好的应用程序检测限制运动考虑非随机约束时,粒子在一个区域停留的时间比布朗扩散剂将保持更长。此外,APM_GUI导出结果,允许用户使用他们熟悉的软件分析这些信息。结论:APM_GUI提供了一个量化扩散系数并确定轨迹是否具有非随机限制的开源工具。它还提供了一个简单且用户友好的工具,可供没有编程技能的个人使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

APM_GUI: analyzing particle movement on the cell membrane and determining confinement.

APM_GUI: analyzing particle movement on the cell membrane and determining confinement.

APM_GUI: analyzing particle movement on the cell membrane and determining confinement.

APM_GUI: analyzing particle movement on the cell membrane and determining confinement.

Background: Single-particle tracking is a powerful tool for tracking individual particles with high precision. It provides useful information that allows the study of diffusion properties as well as the dynamics of movement. Changes in particle movement behavior, such as transitions between Brownian motion and temporary confinement, can reveal interesting biophysical interactions. Although useful applications exist to determine the paths of individual particles, only a few software implementations are available to analyze these data, and these implementations are generally not user-friendly and do not have a graphical interface,.

Results: Here, we present APM_GUI (Analyzing Particle Movement), which is a MatLab-implemented application with a Graphical User Interface. This user-friendly application detects confined movement considering non-random confinement when a particle remains in a region longer than a Brownian diffusant would remain. In addition, APM_GUI exports the results, which allows users to analyze this information using software that they are familiar with.

Conclusions: APM_GUI provides an open-source tool that quantifies diffusion coefficients and determines whether trajectories have non-random confinements. It also offers a simple and user-friendly tool that can be used by individuals without programming skills.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
BMC Biophysics
BMC Biophysics BIOPHYSICS-
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Cessation
×
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:481959085
Book学术官方微信