GUV-AP

GUV-AP performs quantitative image analysis of Giant Unilamellar Vesicles (GUVs) by extracting fluorescence-based measurements of membrane dye incorporation and protein binding from microscopy images.


Key Features:

  • Automated image analysis: Automated recognition and processing of digital fluorescence microscopy images of GUVs for batch analysis.
  • Fluorescence imaging analysis: Extraction and quantification of fluorescence signals to characterize membrane dye distribution and intensity.
  • Quantitative protein binding assessment: Fluorescence intensity–based method to quantify protein binding to GUV membranes.
  • FIJI/ImageJ macro implementation: Implemented as a macro for FIJI/ImageJ to apply consistent image-processing criteria across samples and datasets.

Scientific Applications:

  • Membrane biophysics: Quantitative characterization of membrane composition and dynamics in GUV model systems.
  • Protein–membrane interaction studies: Measurement of protein binding affinity and distribution on synthetic membranes.
  • Cell biology and biochemical modeling: Investigation of processes related to membrane signaling, transport, and membrane fusion using GUVs as model membranes.

Methodology:

Automated image-processing routines implemented as a FIJI/ImageJ macro perform recognition and processing of digital fluorescence microscopy images and extract fluorescence intensity measurements; the macro applies consistent analysis criteria across datasets for quantitative assessment of membrane dye incorporation and protein binding.

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Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Added:
7/4/2019
Last Updated:
11/24/2024

Operations

Publications

Sych T, Schubert T, Vauchelles R, Madl J, Omidvar R, Thuenauer R, Richert L, Mély Y, Römer W. GUV-AP: multifunctional FIJI-based tool for quantitative image analysis of Giant Unilamellar Vesicles. Bioinformatics. 2018;35(13):2340-2342. doi:10.1093/bioinformatics/bty962. PMID:30475993.

PMID: 30475993
Funding: - German Research Foundation: EXC 294, IRTG 1642, RO 4341/2-1, RO 4341/3-1

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