Quantitative data analysis in single-molecule localization microscopy(SMLM)is crucial for studying cellular functions at the biomolecular level.In the past decade,several quantitative methods were developed for analyz...Quantitative data analysis in single-molecule localization microscopy(SMLM)is crucial for studying cellular functions at the biomolecular level.In the past decade,several quantitative methods were developed for analyzing SMLM data;however,imaging artifacts in SMLM experiments reduce the accuracy of these methods,and these methods were seldom designed as user-friendly tools.Researchers are now trying to overcome these di±culties by developing easyto-use SMLM data analysis software for certain image analysis tasks.But,this kind of software did not pay su±cient attention to the impact of imaging artifacts on the analysis accuracy,and usually contained only one type of analysis task.Therefore,users are still facing di±culties when they want to have the combined use of different types of analysis methods according to the characteristics of their data and their own needs.In this paper,we report an ImageJ plug-in called DecodeSTORM,which not only has a simple GUI for human–computer interaction,but also combines artifact correction with several quantitative analysis methods.DecodeSTORM includes format conversion,channel registration,artifact correction(drift correction and localization¯ltering),quantitative analysis(segmentation and clustering,spatial distribution statistics and colocalization)and visualization.Importantly,these data analysis methods can be combined freely,thus improving the accuracy of quantitative analysis and allowing users to have an optimal combination of methods.We believe DecodeSTORM is a user-friendly and powerful ImageJ plug-in,which provides an easy and accurate data analysis tool for adventurous biologists who are looking for new imaging tools for studying important questions in cell biology.展开更多
剖析了 Active X Autom ation技术和 Auto CAD R14新提供的 Active X Autom ation编程接口 ,在此基础上介绍了基于 Active X Autom ation技术从 Auto CA D的 DWG文件中自动提取标题栏和明细栏管理信息的方法 ,并给出了关键技术的源程序 ...剖析了 Active X Autom ation技术和 Auto CAD R14新提供的 Active X Autom ation编程接口 ,在此基础上介绍了基于 Active X Autom ation技术从 Auto CA D的 DWG文件中自动提取标题栏和明细栏管理信息的方法 ,并给出了关键技术的源程序 .在此技术上开发出的软件包在实践中得到了较好的应用 .展开更多
剖析了 Active X技术和 Auto CAD R1 4新提供的 Active X Au-tomation编程接口 ,并在此基础上介绍了基于 Active X automation技术从Auto CAD的 DWG文件中自动提取标题栏和明细栏信息的方法和基于 Ac-tive X控件的图纸浏览技术。据此技...剖析了 Active X技术和 Auto CAD R1 4新提供的 Active X Au-tomation编程接口 ,并在此基础上介绍了基于 Active X automation技术从Auto CAD的 DWG文件中自动提取标题栏和明细栏信息的方法和基于 Ac-tive X控件的图纸浏览技术。据此技术开发出的软件包在实践中得到了较好的应用 。展开更多
基金supported by the National Natural Science Foundation of China(82160345)Key research and development project of Hainan province(ZDYF2021GXJS017)+2 种基金Key Science and Technology Plan Project of Haikou(2021-016)the Start-up Fund from Hainan University(KYQD(ZR)-20022 and KYQD(ZR)-20077)the Student Innovation and Entrepreneurship Project of Biomedical Engineer-ing School,Hainan University(BMECF2D2021001).
文摘Quantitative data analysis in single-molecule localization microscopy(SMLM)is crucial for studying cellular functions at the biomolecular level.In the past decade,several quantitative methods were developed for analyzing SMLM data;however,imaging artifacts in SMLM experiments reduce the accuracy of these methods,and these methods were seldom designed as user-friendly tools.Researchers are now trying to overcome these di±culties by developing easyto-use SMLM data analysis software for certain image analysis tasks.But,this kind of software did not pay su±cient attention to the impact of imaging artifacts on the analysis accuracy,and usually contained only one type of analysis task.Therefore,users are still facing di±culties when they want to have the combined use of different types of analysis methods according to the characteristics of their data and their own needs.In this paper,we report an ImageJ plug-in called DecodeSTORM,which not only has a simple GUI for human–computer interaction,but also combines artifact correction with several quantitative analysis methods.DecodeSTORM includes format conversion,channel registration,artifact correction(drift correction and localization¯ltering),quantitative analysis(segmentation and clustering,spatial distribution statistics and colocalization)and visualization.Importantly,these data analysis methods can be combined freely,thus improving the accuracy of quantitative analysis and allowing users to have an optimal combination of methods.We believe DecodeSTORM is a user-friendly and powerful ImageJ plug-in,which provides an easy and accurate data analysis tool for adventurous biologists who are looking for new imaging tools for studying important questions in cell biology.
文摘虚拟仪器技术与传统仪器技术相比较具有开放性、易用性、价格便宜等特点 ,目前已经在各行各业中得到广泛的应用 .文中从虚拟仪器软件的开发的角度出发 ,分析了 Active X控件在开发虚拟仪器中的意义 ,阐述了基于虚拟仪器的 Active X控件的开发及在 Lab VIEW与 Visual C++中的应用过程 ,探讨了 Active
文摘剖析了 Active X Autom ation技术和 Auto CAD R14新提供的 Active X Autom ation编程接口 ,在此基础上介绍了基于 Active X Autom ation技术从 Auto CA D的 DWG文件中自动提取标题栏和明细栏管理信息的方法 ,并给出了关键技术的源程序 .在此技术上开发出的软件包在实践中得到了较好的应用 .
文摘剖析了 Active X技术和 Auto CAD R1 4新提供的 Active X Au-tomation编程接口 ,并在此基础上介绍了基于 Active X automation技术从Auto CAD的 DWG文件中自动提取标题栏和明细栏信息的方法和基于 Ac-tive X控件的图纸浏览技术。据此技术开发出的软件包在实践中得到了较好的应用 。
