Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
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11.9K Views
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09:30 min
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January 18th, 2017
DOI :
January 18th, 2017
•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
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Rozdziały w tym wideo
0:05
Title
1:03
Open Fluorescence Lifetime Imaging (FLIM)–High Content Analysis (HCA) Plugin Setup
1:51
Instrument Response Function (IRF) Image and Reference Dye Data Acquisition
4:32
Multiwell Plate Sample FLIM Data Acquisition
6:29
Results: Representative FLIM Analyses in Cos and HeLa Cells
8:05
Conclusion
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