Szafran Adam T, Mancini Michael A
Department of Molecular and Cellular Biology, Baylor College of Medicine , Houston, Texas.
Assay Drug Dev Technol. 2014 Jan-Feb;12(1):87-99. doi: 10.1089/adt.2013.532.
A major challenge faced by screening centers developing image-based assays is the wide range of assays needed compared to the limited resources that are available to effectively analyze and manage them. To overcome this limitation, we have developed the web-based myImageAnalysis (mIA) application, integrated with an open database connectivity compliant database and powered by Pipeline Pilot (PLP) that incorporates dataset tracking, scheduling and archiving, image analysis, and data reporting. For system administrators, mIA provides automated methods for managing and archiving data. For the biologist, this application allows those without any programming or image analysis experience to quickly develop, validate, and share results of complex image-based assays. Further, the structure of the application within PLP allows those with experience in PLP programming to easily add additional analysis tools as required. The tools within mIA allow users to assess basic (cell count, protein per cell, protein subcellular localization) and more advanced (engineered cell lines analysis, cell toxicity) biological image-based assays that employ advanced statistics and provides key assay performance metrics.
开发基于图像的检测方法的筛查中心面临的一个主要挑战是,与可用于有效分析和管理这些检测方法的有限资源相比,所需的检测方法种类繁多。为克服这一限制,我们开发了基于网络的myImageAnalysis(mIA)应用程序,该程序与符合开放数据库连接标准的数据库集成,并由Pipeline Pilot(PLP)提供支持,它包含数据集跟踪、调度和存档、图像分析以及数据报告功能。对于系统管理员而言,mIA提供了管理和存档数据的自动化方法。对于生物学家来说,该应用程序使那些没有任何编程或图像分析经验的人能够快速开发、验证并分享基于复杂图像的检测结果。此外,PLP中的应用程序结构使那些有PLP编程经验的人能够根据需要轻松添加其他分析工具。mIA中的工具允许用户评估基于生物图像的基本检测(细胞计数、每个细胞的蛋白质、蛋白质亚细胞定位)和更高级的检测(工程细胞系分析、细胞毒性),这些检测采用了先进的统计方法并提供关键的检测性能指标。