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Quantifying Intermembrane Distances with Serial Image Dilations

A recently-described extracellular nanodomain, termed the perinexus, has been implicated in ephaptic coupling, which is an alternative mechanism for electrical conduction between cardiomyocytes. The current method for quantifying this space by manual segmentation is slow and has low spatial resoluti...

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Detalles Bibliográficos
Autores principales: Raisch, Tristan, Khan, Momina, Poelzing, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MyJove Corporation 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235350/
https://www.ncbi.nlm.nih.gov/pubmed/30320747
http://dx.doi.org/10.3791/58311
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author Raisch, Tristan
Khan, Momina
Poelzing, Steven
author_facet Raisch, Tristan
Khan, Momina
Poelzing, Steven
author_sort Raisch, Tristan
collection PubMed
description A recently-described extracellular nanodomain, termed the perinexus, has been implicated in ephaptic coupling, which is an alternative mechanism for electrical conduction between cardiomyocytes. The current method for quantifying this space by manual segmentation is slow and has low spatial resolution.We developed an algorithm that uses serial image dilations of a binary outline to count the number of pixels between two opposing 2 dimensional edges.This algorithm requires fewer man hours and has a higher spatial resolution than the manual method while preserving the reproducibility of the manual process.In fact, experienced and novice investigators were able to recapitulate the results of a previous study with this new algorithm.The algorithm is limited by the human input needed to manually outline the perinexus and computational power mainly encumbered by a pre-existing pathfinding algorithm.However, the algorithm's high-throughput capabilities, high spatial resolution and reproducibility make it a versatile and robust measurement tool for use across a variety of applications requiring the measurement of the distance between any 2-dimensional (2D) edges.
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spelling pubmed-62353502018-11-20 Quantifying Intermembrane Distances with Serial Image Dilations Raisch, Tristan Khan, Momina Poelzing, Steven J Vis Exp Bioengineering A recently-described extracellular nanodomain, termed the perinexus, has been implicated in ephaptic coupling, which is an alternative mechanism for electrical conduction between cardiomyocytes. The current method for quantifying this space by manual segmentation is slow and has low spatial resolution.We developed an algorithm that uses serial image dilations of a binary outline to count the number of pixels between two opposing 2 dimensional edges.This algorithm requires fewer man hours and has a higher spatial resolution than the manual method while preserving the reproducibility of the manual process.In fact, experienced and novice investigators were able to recapitulate the results of a previous study with this new algorithm.The algorithm is limited by the human input needed to manually outline the perinexus and computational power mainly encumbered by a pre-existing pathfinding algorithm.However, the algorithm's high-throughput capabilities, high spatial resolution and reproducibility make it a versatile and robust measurement tool for use across a variety of applications requiring the measurement of the distance between any 2-dimensional (2D) edges. MyJove Corporation 2018-09-28 /pmc/articles/PMC6235350/ /pubmed/30320747 http://dx.doi.org/10.3791/58311 Text en Copyright © 2018, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Bioengineering
Raisch, Tristan
Khan, Momina
Poelzing, Steven
Quantifying Intermembrane Distances with Serial Image Dilations
title Quantifying Intermembrane Distances with Serial Image Dilations
title_full Quantifying Intermembrane Distances with Serial Image Dilations
title_fullStr Quantifying Intermembrane Distances with Serial Image Dilations
title_full_unstemmed Quantifying Intermembrane Distances with Serial Image Dilations
title_short Quantifying Intermembrane Distances with Serial Image Dilations
title_sort quantifying intermembrane distances with serial image dilations
topic Bioengineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235350/
https://www.ncbi.nlm.nih.gov/pubmed/30320747
http://dx.doi.org/10.3791/58311
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