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Single Cell Analysis of Drug Distribution by Intravital Imaging

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  • Randy J Giedt
  • Peter D Koch
  • Ralph Weissleder

Abstract

Recent advances in the field of intravital imaging have for the first time allowed us to conduct pharmacokinetic and pharmacodynamic studies at the single cell level in live animal models. Due to these advances, there is now a critical need for automated analysis of pharmacokinetic data. To address this, we began by surveying common thresholding methods to determine which would be most appropriate for identifying fluorescently labeled drugs in intravital imaging. We then developed a segmentation algorithm that allows semi-automated analysis of pharmacokinetic data at the single cell level. Ultimately, we were able to show that drug concentrations can indeed be extracted from serial intravital imaging in an automated fashion. We believe that the application of this algorithm will be of value to the analysis of intravital microscopy imaging particularly when imaging drug action at the single cell level.

Suggested Citation

  • Randy J Giedt & Peter D Koch & Ralph Weissleder, 2013. "Single Cell Analysis of Drug Distribution by Intravital Imaging," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-9, April.
    • Handle: RePEc:plo:pone00:0060988
    DOI: 10.1371/journal.pone.0060988
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    References listed on IDEAS

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    1. Sungon Lee & Claudio Vinegoni & Paolo Fumene Feruglio & Lyuba Fexon & Rostic Gorbatov & Misha Pivoravov & Andrea Sbarbati & Matthias Nahrendorf & Ralph Weissleder, 2012. "Real-time in vivo imaging of the beating mouse heart at microscopic resolution," Nature Communications, Nature, vol. 3(1), pages 1-8, January.
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