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    <title>Data underlying Chapter 3, “From Shallow to Full Wrapping: Geometry and Deformability Dictate Lipid Vesicle Internalization”, in the PhD thesis: Particle–Membrane Interactions in Biomimetic Vesicles : From Engulfment to Flexible Confinement</title>
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    <subject>Membrane wrapping</subject>
    <subject>giant unilamellar vesicles</subject>
    <subject>endocytosis</subject>
    <subject>engulfment</subject>
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    <description descriptionType="Abstract">&lt;p&gt;This dataset belongs to Chapter 3 of the PhD thesis of Stijn van der Ham (2026). &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Authors: Stijn van der Ham, Hanumantha Rao Vutukuri&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Active Soft Matter and Bio-inspired Materials Lab, Faculty of Science and Technology, MESA+ Institute, University of Twente, Enschede, The Netherlands&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Corresponding Author: Hanumantha Rao Vutukuri (email: h.r.vutukuri@utwente.nl)&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;***General Introduction***&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;The dataset contains the experimental data, analysis, and figure files underlying the figures in &lt;strong&gt;Chapter 3&lt;/strong&gt; of the PhD thesis of Stijn van der Ham.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;This chapter has been published as: From Shallow to Full Wrapping: Geometry and Deformability Dictate Lipid Vesicle Internalization (https://doi.org/10.1021/acs.nanolett.5c04322)&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Additional datasets and analysis codes corresponding to the simulations can be found with the corresponding publication, as linked above.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;***Methodology***&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;All data processing and analysis steps are described in detail in the Methods section of the corresponding publication, as well as in the thesis.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Analysis codes in the dataset can be run as is, with the exception of updating certain paths/parameters as indicated in the analysis codes.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;***Organization of the dataset***&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;The data is organized per figure, numbered according to the thesis, with supporting figures preceded by the capital letter 'S'. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Within each figure folder, data is ordered as:&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;- &lt;strong&gt;Figure files:&lt;/strong&gt; final figure files, provided in several formats (.ai file, .pdf file, .svg file)&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;- &lt;strong&gt;Raw data folder:&lt;/strong&gt; raw data underlying the figure (microscopy images in the form of .tiff images/stacks/series)&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;- &lt;strong&gt;Analysis folder:&lt;/strong&gt; analysis codes underlying the figure, data required for the analyses code, and codes for the generation of the plots (jupyter notebooks,  .svg files for python generated figures.)&lt;/p&gt;</description>
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