2 articles published in JoVE
Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy Frederik Görlitz*1, Douglas J. Kelly*1, Sean C. Warren1, Dominic Alibhai2, Lucien West3, Sunil Kumar1, Yuriy Alexandrov1, Ian Munro1, Edwin Garcia1, James McGinty1, Clifford Talbot1, Remigiusz A. Serwa4, Emmanuelle Thinon4, Vincenzo da Paola3, Edward J. Murray5, Frank Stuhmeier6, Mark A. A. Neil1, Edward W. Tate4, Christopher Dunsby1,7, Paul M. W. French1 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.
Implantation and Recording of Wireless Electroretinogram and Visual Evoked Potential in Conscious Rats Jason Charng1, Zheng He1, Bang Bui1, Algis Vingrys1, Magnus Ivarsson1, Rebecca Fish2, Rachel Gurrell2, Christine Nguyen1 1Department of Optometry and Vision Sciences, University of Melbourne, 2Pfizer Neusentis We show surgical implantation and Recording procedures to measure visual electrophysiological signals from the eye (electroretinogram) and brain (visual evoked potential) in conscious rats, which is more analogous to the human condition where recordings are conducted without anesthesia confounds.