How to Characterize Individual Nano-Size Liposomes with Simple Self-Calibrating Fluorescence Microscopy

Kim I. Mortensen*, Chiara Tassone, Nicky Ehrlich, Thomas L. Andresen, Henrik Flyvbjerg

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    Nano-size lipid vesicles are used extensively at the interface between nanotechnology and biology, e.g. as containers for chemical reactions at minute concentrations and vehicles for targeted delivery of pharmaceuticals. Typically, vesicle samples are heterogeneous as regards vesicle size and structural properties. Consequently, vesicles must be characterized individually to ensure correct interpretation of experimental results. Here we do that using dual-color fluorescence labeling of vesicles-of their lipid bilayers and lumens, respectively. A vesicle then images as two spots, one in each color channel. A simple image analysis determines the total intensity and width of each spot. These four data all depend on the vesicle radius in a simple manner for vesicles that are spherical, unilamellar, and optimal encapsulators of molecular cargo. This permits identification of such ideal vesicles. They in turn enable calibration of the dual-color fluorescence microscopy images they appear in. Since this calibration is not a separate experiment but an analysis of images of vesicles to be characterized, it eliminates the potential source of error that a separate calibration experiment would have been. Non-ideal vesicles in the same images were characterized by how their four data violate the calibrated relationship established for ideal vesicles. In this way, our method yields size, shape, lamellarity, and encapsulation efficiency of each imaged vesicle. Applying this procedure to extruded samples of vesicles, we found that, contrary to common assumptions, only a fraction of vesicles are ideal.
    Original languageEnglish
    JournalNano letters
    Volume18
    Issue number5
    Pages (from-to)2844-2851
    Number of pages8
    ISSN1530-6984
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Liposomes
    • Vesicles
    • Single-particle analysis
    • Dual-color fluorescence microscopy
    • Lamellarity
    • Encapsulation
    • Efficiency

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