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Open Source de análisis de contenidos de alta Utilizando microscopía de fluorescencia automatizado de imágenes por vida
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January 18, 2017
DOI:
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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Görlitz, F., Kelly, D. J., Warren, S. C., Alibhai, D., West, L., Kumar, S., Alexandrov, Y., Munro, I., Garcia, E., McGinty, J., Talbot, C., Serwa, R. A., Thinon, E., da Paola, V., Murray, E. J., Stuhmeier, F., Neil, M. A. A., Tate, E. W., Dunsby, C., French, P. M. W. Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy. J. Vis. Exp. (119), e55119, doi:10.3791/55119 (2017).
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