Automatic Classification of the Movements of Directed and Undirected Subviral Particles

The development of drugs against pathogens that cause hemorrhagic fever, such as Marburg and Ebola virus, requires researchers to gather much information about the virus. The accelerating of the research process is of great interest; therefore a new algorithm was developed to analyze intracellular p...

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Autores principales:	Kaak Michelle, Rausch Andreas, Schanze Thomas
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	subviral particles mean squared displacement fluorescence microscopy movement patterns Medicine R
Acceso en línea:	https://doaj.org/article/f5860755fddb4c9c92245402f68b62a2
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spelling	oai:doaj.org-article:f5860755fddb4c9c92245402f68b62a22021-12-05T14:10:42ZAutomatic Classification of the Movements of Directed and Undirected Subviral Particles2364-550410.1515/cdbme-2020-3038https://doaj.org/article/f5860755fddb4c9c92245402f68b62a22020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3038https://doaj.org/toc/2364-5504The development of drugs against pathogens that cause hemorrhagic fever, such as Marburg and Ebola virus, requires researchers to gather much information about the virus. The accelerating of the research process is of great interest; therefore a new algorithm was developed to analyze intracellular processes. The algorithm will classify the motion characteristics of subviral particles in fluorescence microscopic image sequences of Ebola or Marburg virusinfected cells. The classification is based on the calculation of mean squared displacement. The results look promising to distinguish different particle tracks in active and passive transport. The paper ends with a discussion.Kaak MichelleRausch AndreasSchanze ThomasDe Gruyterarticlesubviral particles mean squared displacementfluorescence microscopymovement patternsMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 147-150 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	subviral particles mean squared displacement fluorescence microscopy movement patterns Medicine R
spellingShingle	subviral particles mean squared displacement fluorescence microscopy movement patterns Medicine R Kaak Michelle Rausch Andreas Schanze Thomas Automatic Classification of the Movements of Directed and Undirected Subviral Particles
description	The development of drugs against pathogens that cause hemorrhagic fever, such as Marburg and Ebola virus, requires researchers to gather much information about the virus. The accelerating of the research process is of great interest; therefore a new algorithm was developed to analyze intracellular processes. The algorithm will classify the motion characteristics of subviral particles in fluorescence microscopic image sequences of Ebola or Marburg virusinfected cells. The classification is based on the calculation of mean squared displacement. The results look promising to distinguish different particle tracks in active and passive transport. The paper ends with a discussion.
format	article
author	Kaak Michelle Rausch Andreas Schanze Thomas
author_facet	Kaak Michelle Rausch Andreas Schanze Thomas
author_sort	Kaak Michelle
title	Automatic Classification of the Movements of Directed and Undirected Subviral Particles
title_short	Automatic Classification of the Movements of Directed and Undirected Subviral Particles
title_full	Automatic Classification of the Movements of Directed and Undirected Subviral Particles
title_fullStr	Automatic Classification of the Movements of Directed and Undirected Subviral Particles
title_full_unstemmed	Automatic Classification of the Movements of Directed and Undirected Subviral Particles
title_sort	automatic classification of the movements of directed and undirected subviral particles
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/f5860755fddb4c9c92245402f68b62a2
work_keys_str_mv	AT kaakmichelle automaticclassificationofthemovementsofdirectedandundirectedsubviralparticles AT rauschandreas automaticclassificationofthemovementsofdirectedandundirectedsubviralparticles AT schanzethomas automaticclassificationofthemovementsofdirectedandundirectedsubviralparticles
_version_	1718371816698806272

Automatic Classification of the Movements of Directed and Undirected Subviral Particles

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