Rodríguez-Arribas Mario, Pizarro-Estrella Elisa, Gómez-Sánchez Rubén, Yakhine-Diop S M S, Gragera-Hidalgo Antonio, Cristo Alejandro, Bravo-San Pedro Jose M, González-Polo Rosa A, Fuentes José M
Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Cáceres, Spain Departamento de Bioquímica, Biología Molecular y Genética, F. Enfermería y Terapia Ocupacional, Universidad de Extremadura, Cáceres, Spain.
Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Cáceres, Spain Departamento de Bioquímica, Biología Molecular y Genética, F. Enfermería y Terapia Ocupacional, Universidad de Extremadura, Cáceres, Spain Department of Cell Biology, University Medical Center Groningen, the Netherlands.
J Lab Autom. 2016 Apr;21(2):246-59. doi: 10.1177/2211068215600650. Epub 2015 Aug 24.
Most laboratories interested in autophagy use different imaging software for managing and analyzing heterogeneous parameters in immunofluorescence experiments (e.g., LC3-puncta quantification and determination of the number and size of lysosomes). One solution would be software that works on a user's laptop or workstation that can access all image settings and provide quick and easy-to-use analysis of data. Thus, we have designed and implemented an application called IFDOTMETER, which can run on all major operating systems because it has been programmed using JAVA (Sun Microsystems). Briefly, IFDOTMETER software has been created to quantify a variety of biological hallmarks, including mitochondrial morphology and nuclear condensation. The program interface is intuitive and user-friendly, making it useful for users not familiar with computer handling. By setting previously defined parameters, the software can automatically analyze a large number of images without the supervision of the researcher. Once analysis is complete, the results are stored in a spreadsheet. Using software for high-throughput cell image analysis offers researchers the possibility of performing comprehensive and precise analysis of a high number of images in an automated manner, making this routine task easier.
大多数对自噬感兴趣的实验室在免疫荧光实验中使用不同的成像软件来管理和分析异质参数(例如,LC3斑点定量以及溶酶体数量和大小的测定)。一种解决方案是一种可在用户的笔记本电脑或工作站上运行的软件,该软件可以访问所有图像设置并提供快速且易于使用的数据分析。因此,我们设计并实现了一个名为IFDOTMETER的应用程序,它可以在所有主流操作系统上运行,因为它是使用JAVA(太阳微系统公司)编程的。简而言之,创建IFDOTMETER软件是为了量化各种生物学特征,包括线粒体形态和核浓缩。该程序界面直观且用户友好,对不熟悉计算机操作的用户很有用。通过设置预先定义的参数,该软件可以在无需研究人员监督的情况下自动分析大量图像。分析完成后,结果会存储在电子表格中。使用软件进行高通量细胞图像分析为研究人员提供了以自动化方式对大量图像进行全面而精确分析的可能性,使这项常规任务变得更容易。