Fluorescence-Based High-Throughput and Targeted Image Acquisition and Analysis for Phenotypic Screening
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Applying the right acquisition method in a fluorescence imaging-based screening context is of great importance to obtain an appropriate readout and to select the right scale of the screen. In order to save imaging time and data, we have developed routines for multiscale targeted imaging, providing both a broad overview of a sample and additional in-depth information for targets of interest identified within the screen. These objects can be identified and acquired on-the-fly by an interconnection of image acquisition and image analysis.
Key wordsHigh-throughput screening High content screening Targeted imaging Automated imaging KNIME
The authors wish to thank Michael Berthold and the KNIME/KNIP developers for their help with the development of the KNIME nodes and workflows. This work was funded within the project CancerTelSys (grant number 01ZX1302) in the e:Med program, the project HD-HuB (grant number 031A537C) in the de.NBI program and within the project RNA-Code (grant number 031A298) in the e:Bio program, all of the German Federal Ministry of Education and Research (BMBF). The ViroQuant-CellNetworks RNAi Screening Facility was also supported by the CellNetworks-Cluster of Excellence (grant number EXC81).
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