High-Throughput Mechanical Characterization of Giant Unilamellar Vesicles by RT-DC
收藏DataCite Commons2025-11-13 更新2026-02-09 收录
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https://figshare.com/articles/dataset/High-Throughput_Mechanical_Characterization_of_Giant_Unilamellar_Vesicles_by_RT-DC/29480798/2
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资源简介:
This dataset supports the publication <i>“High-Throughput Mechanical Characterization of Giant Unilamellar Vesicles by Real-Time Deformability Cytometry”</i>. [1]It includes simulation results, RT-DC measurements of DOPC and SM/Chol vesicles, and a Jupyter notebook implementing three model-based fitting strategies (direct, collective, and combined) to extract the surface dilational modulus <i>K</i> from experimental data.The simulation results are based on a phase-field model capturing the deformation–area relationship of fluid lipid vesicles. Experimental data are provided as <code>.tsv</code> and <code>.rtdc</code> files, including datasets at multiple flow rates.The notebook reproduces the main results of the associated publication and enables application of the method to new datasets. See the included README for details.<b>References</b>[1] Kloppe, M., Maurer, S. J., Abele, T., Göpfrich, K., & Aland, S. (2025). <i>High-Throughput Mechanical Characterization of Giant Unilamellar Vesicles by Real-Time Deformability Cytometry</i>. Submitted to <i>Soft Matter</i>.[2] Otto, O., et al. (2015). <i>Real-time deformability cytometry: on-the-fly cell mechanical phenotyping</i>. Nature Methods, 12(3), 199–202. https://doi.org/10.1038/nmeth.3281[3] https://github.com/ZELLMECHANIK-DRESDEN/dclab[4] https://dclab.readthedocs.io<br>
提供机构:
figshare
创建时间:
2025-11-13



