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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2018
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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. |
format | Online Article Text |
id | pubmed-6235350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
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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