Berginski Matthew E, Gomez Shawn M
UNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7575, USA.
UNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7575, USA ; UNC Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7575, USA ; UNC Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7575, USA.
F1000Res. 2013 Mar 4;2:68. doi: 10.12688/f1000research.2-68.v1. eCollection 2013.
The Focal Adhesion Analysis Server (FAAS) is a web-based implementation of a set of computer vision algorithms designed to quantify the behavior of focal adhesions in cells imaged in 2D cultures. The input consists of one or more images of a labeled focal adhesion protein. The outputs of the system include a range of static and dynamic measurements for the adhesions present in each image as well as how these properties change over time. The user is able to adjust several parameters important for proper focal adhesion identification. This system provides a straightforward tool for the global, unbiased assessment of focal adhesion behavior common in optical microscopy studies. The webserver is available at: http://faas.bme.unc.edu/.
粘着斑分析服务器(FAAS)是一组计算机视觉算法的基于网络的实现,旨在量化二维培养中成像细胞内粘着斑的行为。输入包括一个或多个标记的粘着斑蛋白的图像。系统的输出包括每个图像中存在的粘着斑的一系列静态和动态测量值,以及这些属性如何随时间变化。用户能够调整对正确识别粘着斑很重要的几个参数。该系统为光学显微镜研究中常见的粘着斑行为的全局、无偏评估提供了一个简单的工具。该网络服务器可通过以下网址访问:http://faas.bme.unc.edu/ 。