1Click1View: Interactive Visualization Methodology for RNAi Cell-Based Microscopic Screening. (27th December 2012)

• Record Type: Journal Article
• Authors: Zwolinski, Lukasz; Kozak, Marta; Kozak, Karol
• Other Names: Sioud Mouldy Academic Editor.
• Is Part Of: BioMed research international. Volume 2013(2013)
• Publication Date: 2012-12-27
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2013/156932
• Languages: English
• ISSNs: 2314-6133

Abstract

Abstract : Technological advancements are constantly increasing the size and complexity of data resulting from large-scale RNA interference screens. This fact has led biologists to ask complex questions, which the existing, fully automated analyses are often not adequate to answer. We present a concept of 1Click1View (1C1V) as a methodology for interactive analytic software tools. 1C1V can be applied for two-dimensional visualization of image-based screening data sets from High Content Screening (HCS). Through an easy-to-use interface, one-click, one-view concept, and workflow based architecture, visualization method facilitates the linking of image data with numeric data. Such method utilizes state-of-the-art interactive visualization tools optimized for fast visualization of large scale image data sets. We demonstrate our method on an HCS dataset consisting of multiple cell features from two screening assays.