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ZENODO
Software . 2017
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Software . 2017
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
Claim

GUV membrane linearization macro

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 08 Apr 2017Publisher:ZenodoFunded by:NIH | Structural Dynamics of th...
Authors: Witkowska, Agata;

doi: 10.5281/zenodo.376618

GUV membrane linearization macro

Abstract

GUV membrane linearization macro v1.0.0 http://dx.doi.org/10.5281/zenodo.376618 This package contains: GUV_membrane_linearization_macro.ijm This macro was developed by Agata Witkowska for the study Witkowska A. & Jahn R., Biophysical Journal (2017) "Rapid SNARE-mediated fusion of liposomes and chromaffin granules with giant unilamellar vesicles" http://dx.doi.org/10.1016/j.bpj.2017.03.010 This Fiji macro can be used for automatic detection of GUV on a microscopy image (1 GUV on image present), linearization of its membrane with a polar transformation method, removal of saturated pixels and measurement of peak membrane intensities on a transformed image. It returns GUV diameter, mean membrane peak intensity and std of it. Required plugin: Polar Transformer.

Related Organizations
Keywords

Fiji, macro, GUV, fluorescence microscopy, ImageJ

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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