Lipid Vesicle Shape Analysis from Populations Using Light Video Microscopy and Computer Vision

Jernej Zupanc, Barbara Drašler, Sabina Boljte, Veronika Kralj-Iglič, Aleš Iglič, Deniz Erdogmus and Damjana Drobne

PLOS ONE, 2014, vol. 9, issue 11, 1-14

Abstract: We present a method for giant lipid vesicle shape analysis that combines manually guided large-scale video microscopy and computer vision algorithms to enable analyzing vesicle populations. The method retains the benefits of light microscopy and enables non-destructive analysis of vesicles from suspensions containing up to several thousands of lipid vesicles (1–50 µm in diameter). For each sample, image analysis was employed to extract data on vesicle quantity and size distributions of their projected diameters and isoperimetric quotients (measure of contour roundness). This process enables a comparison of samples from the same population over time, or the comparison of a treated population to a control. Although vesicles in suspensions are heterogeneous in sizes and shapes and have distinctively non-homogeneous distribution throughout the suspension, this method allows for the capture and analysis of repeatable vesicle samples that are representative of the population inspected.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0113405

DOI: 10.1371/journal.pone.0113405

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