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BioMed Research International
Volume 2013 (2013), Article ID 156932, 11 pages
Methodology Report

1Click1View: Interactive Visualization Methodology for RNAi Cell-Based Microscopic Screening

1Nauru, LTD., Breslau, Poland
2Technical University of Dresden, 01307 Dresden, Germany

Received 24 September 2012; Accepted 31 October 2012

Academic Editor: Mouldy Sioud

Copyright © 2013 Lukasz Zwolinski et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.