Easyworm: an open-source software tool to determine the mechanical properties of worm-like chains.

Q2 Decision Sciences Source Code for Biology and Medicine Pub Date : 2014-07-10 eCollection Date: 2014-01-01 DOI:10.1186/1751-0473-9-16
Guillaume Lamour, Julius B Kirkegaard, Hongbin Li, Tuomas Pj Knowles, Jörg Gsponer
{"title":"Easyworm: an open-source software tool to determine the mechanical properties of worm-like chains.","authors":"Guillaume Lamour,&nbsp;Julius B Kirkegaard,&nbsp;Hongbin Li,&nbsp;Tuomas Pj Knowles,&nbsp;Jörg Gsponer","doi":"10.1186/1751-0473-9-16","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A growing spectrum of applications for natural and synthetic polymers, whether in industry or for biomedical research, demands for fast and universally applicable tools to determine the mechanical properties of very diverse polymers. To date, determining these properties is the privilege of a limited circle of biophysicists and engineers with appropriate technical skills.</p><p><strong>Findings: </strong>Easyworm is a user-friendly software suite coded in MATLAB that simplifies the image analysis of individual polymeric chains and the extraction of the mechanical properties of these chains. Easyworm contains a comprehensive set of tools that, amongst others, allow the persistence length of single chains and the Young's modulus of elasticity to be calculated in multiple ways from images of polymers obtained by a variety of techniques (e.g. atomic force microscopy, electron, contrast-phase, or epifluorescence microscopy).</p><p><strong>Conclusions: </strong>Easyworm thus provides a simple and efficient tool for specialists and non-specialists alike to solve a common problem in (bio)polymer science. Stand-alone executables and shell scripts are provided along with source code for further development.</p>","PeriodicalId":35052,"journal":{"name":"Source Code for Biology and Medicine","volume":"9 ","pages":"16"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1751-0473-9-16","citationCount":"69","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Source Code for Biology and Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/1751-0473-9-16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2014/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 69

Abstract

Background: A growing spectrum of applications for natural and synthetic polymers, whether in industry or for biomedical research, demands for fast and universally applicable tools to determine the mechanical properties of very diverse polymers. To date, determining these properties is the privilege of a limited circle of biophysicists and engineers with appropriate technical skills.

Findings: Easyworm is a user-friendly software suite coded in MATLAB that simplifies the image analysis of individual polymeric chains and the extraction of the mechanical properties of these chains. Easyworm contains a comprehensive set of tools that, amongst others, allow the persistence length of single chains and the Young's modulus of elasticity to be calculated in multiple ways from images of polymers obtained by a variety of techniques (e.g. atomic force microscopy, electron, contrast-phase, or epifluorescence microscopy).

Conclusions: Easyworm thus provides a simple and efficient tool for specialists and non-specialists alike to solve a common problem in (bio)polymer science. Stand-alone executables and shell scripts are provided along with source code for further development.

Abstract Image

Abstract Image

Abstract Image

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
Easyworm:一个开源软件工具,用于确定蠕虫状链的机械特性。
背景:无论是工业还是生物医学研究,天然和合成聚合物的应用范围越来越广,需要快速和普遍适用的工具来确定各种聚合物的机械性能。迄今为止,确定这些特性是具有适当技术技能的有限的生物物理学家和工程师的特权。Easyworm是一个用MATLAB编写的用户友好的软件套件,它简化了单个聚合物链的图像分析和这些链的机械性能的提取。Easyworm包含一套全面的工具,其中包括允许从各种技术(例如原子力显微镜,电子,对比相或荧光显微镜)获得的聚合物图像以多种方式计算单链的持续长度和杨氏弹性模量。结论:Easyworm为专家和非专业人士提供了一种简单有效的工具来解决(生物)聚合物科学中的常见问题。独立可执行文件和shell脚本与源代码一起提供,以供进一步开发。
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
Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
自引率
0.00%
发文量
0
期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
期刊最新文献
2DKD: a toolkit for content-based local image search. Computing and graphing probability values of pearson distributions: a SAS/IML macro. iPBAvizu: a PyMOL plugin for an efficient 3D protein structure superimposition approach Social support for collaboration and group awareness in life science research teams. MZPAQ: a FASTQ data compression tool.
×
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