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{"title":"Mobile Quantitative Colocalization Analysis of Fluorescence Microscopy Images","authors":"Vadim Zinchuk, Olga Grossenbacher-Zinchuk","doi":"10.1002/cpcb.43","DOIUrl":null,"url":null,"abstract":"<p>Understanding the nature of fluorescently-labelled molecules requires proper quantification of their colocalization. We developed a new approach to enable quantification of colocalization of markers in fluorescence microscopy images using mobile computers. It consists of three interacting components: desktop computer – cloud – mobile device. After an image is opened on a desktop computer, it is then saved to the cloud and becomes available to a mobile device. Functionality of the desktop and mobile software consists of the same steps and therefore allows using any of the platforms when performing analysis. Changes of the state of the image between devices are synchronized via the cloud, so that nothing is lost when switching them. All interactions are performed seamlessly in the background and do not require any input from the researchers’ side. This approach augments access to analytical imaging by allowing to work in completely new ways with superior levels of control, simplicity, and convenience. © 2018 by John Wiley & Sons, Inc.</p>","PeriodicalId":40051,"journal":{"name":"Current Protocols in Cell Biology","volume":"78 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpcb.43","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols in Cell Biology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpcb.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
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Abstract
Understanding the nature of fluorescently-labelled molecules requires proper quantification of their colocalization. We developed a new approach to enable quantification of colocalization of markers in fluorescence microscopy images using mobile computers. It consists of three interacting components: desktop computer – cloud – mobile device. After an image is opened on a desktop computer, it is then saved to the cloud and becomes available to a mobile device. Functionality of the desktop and mobile software consists of the same steps and therefore allows using any of the platforms when performing analysis. Changes of the state of the image between devices are synchronized via the cloud, so that nothing is lost when switching them. All interactions are performed seamlessly in the background and do not require any input from the researchers’ side. This approach augments access to analytical imaging by allowing to work in completely new ways with superior levels of control, simplicity, and convenience. © 2018 by John Wiley & Sons, Inc.
荧光显微镜图像的移动定量共定位分析
了解荧光标记分子的性质需要对它们的共定位进行适当的量化。我们开发了一种新的方法,使定量共定位的标记在荧光显微镜图像使用移动计算机。它由三个交互组件组成:桌面计算机-云计算-移动设备。在桌面电脑上打开图像后,它会被保存到云端,并可供移动设备使用。桌面和移动软件的功能由相同的步骤组成,因此在执行分析时允许使用任何平台。设备之间的图像状态变化通过云同步,因此切换它们时不会丢失任何东西。所有的交互都在后台无缝地进行,不需要研究人员的任何输入。这种方法通过允许以全新的方式工作,具有卓越的控制水平,简单性和便利性,从而增加了对分析成像的访问。©2018 by John Wiley &儿子,Inc。
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