Vesicle Viewer

Vesicle Viewer analyzes small-angle scattering (SAS) data from unilamellar lipid bilayer vesicles to extract bilayer structural parameters such as area per lipid and bilayer thickness.


Key Features:

  • Small-Angle Scattering (SAS) analysis: Performs analysis of SAS data from unilamellar lipid bilayer vesicles.
  • Modified Scattering Density Profile (EZ-SDP): Implements the EZ-SDP approach to determine bilayer structural parameters including area per lipid and bilayer thickness.
  • Asymmetric bilayer modeling: Models chemically and isotopically asymmetric lipid bilayers.
  • SAXS and SANS support: Applies to small-angle X-ray scattering (SAXS) and small-angle neutron scattering (SANS) datasets.
  • Computational stack: Uses Django with NumPy for computation and Matplotlib for plotting of scattering profiles and fits.

Scientific Applications:

  • Membrane structure determination: Derives quantitative bilayer parameters from SAS experiments for structural biology studies.
  • Asymmetric membrane analysis: Enables investigation of chemical and isotopic asymmetries in lipid bilayers.
  • SAXS/SANS data interpretation: Supports analysis and fitting of SAXS and SANS datasets from unilamellar vesicles.

Methodology:

Implements modified Scattering Density Profile (EZ-SDP) analysis with computational components implemented using Django, NumPy and Matplotlib.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
1/21/2022
Last Updated:
1/21/2022

Operations

Publications

Lewis-Laurent A, Doktorova M, Heberle FA, Marquardt D. Vesicle Viewer: Online visualization and analysis of small-angle scattering from lipid vesicles. Biophysical Journal. 2021;120(21):4639-4648. doi:10.1016/j.bpj.2021.09.018. PMID:34571013. PMCID:PMC8595566.

PMID: 34571013
PMCID: PMC8595566
Funding: - National Institute of General Medical Sciences: F32GM134704, R01GM138887 - Natural Sciences and Engineering Research Council of Canada: RGPIN-2018-04841 - National Science Foundation: MCB-1817929

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