Endomembrane Quantifier


Robatzek lab @ Sainsbury Laboratory

Overview

Measured variables localisation, width, length, n-spots, shape
Operating system windows
Licence freeware
Automation level automated
Plant requirements Arabidopsis
Export formats unknown
Other information Require Acapella to run

Scientific article(s)

High-Throughput Confocal Imaging of Intact Live Tissue Enables Quantification of Membrane Trafficking in Arabidopsis
S. Salomon, D. Grunewald, K. Stuber, S. Schaaf, D. MacLean, P. Schulze-Lefert, S. Robatzek
PLANT PHYSIOLOGY, 2017 View paper

Description

EndomembraneQuantifier and EndomembranetCoLocQuantifier are two algorithms and software implementations for quantifying and identifying colocalized spot-like objects. Images taken by high content and high-throughput confocal microscopy were analyzed with the image processing software Acapella (version 2.0; Perkin-Elmer). Based on an earlier developed algorithm referred to as the Endomembrane script, we designed an algorithm to robustly detect and quantify spots in one channel (GFP), which can subtract background autofluorescence signals in the same channel. In particular, spots were initially detected and then filtered based on their roundness, intensity, area, length, and width. Additionally, EndomembraneCoLocQuantifier detects vesicles labeled with two different flourophores (e.g. GFP and RFP) and determines the amount of co-localization between these differentially labeled vesicles.

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