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Biology

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
Frederik Görlitz *1, Douglas J. Kelly *1, Sean C. Warren 1, Dominic Alibhai 2, Lucien West 3, Sunil Kumar 1, Yuriy Alexandrov 1, Ian Munro 1, Edwin Garcia 1, James McGinty 1, Clifford Talbot 1, Remigiusz A. Serwa 4, Emmanuelle Thinon 4, Vincenzo da Paola 3, Edward J. Murray 5, Frank Stuhmeier 6, Mark A. A. Neil 1, Edward W. Tate 4, Christopher Dunsby 1,7, Paul M. W. French 1
1Photonics Group, Department of Physics, Imperial College London, 2Institute for Chemical Biology, Department of Chemistry, Imperial College London, 3MRC Clinical Sciences Centre, Hammersmith Hospital, 4Chemical Biology Section, Department of Chemistry, Imperial College London, 5Retroscreen Virology Ltd, 6Pfizer Global Research and Development, Pfizer Limited, Sandwich, Kent, UK, 7Centre for Histopathology, Imperial College London

We present an open source high content analysis (HCA) instrument utilizing automated fluorescence lifetime imaging (FLIM) for assaying protein interactions using Förster resonance energy transfer (FRET) based readouts. Data acquisition for this openFLIM-HCA instrument is controlled by software written in µManager and data analysis is undertaken in FLIMfit.

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