Computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.

The development of neural cuff-electrodes requires several in vivo studies and revisions of the electrode design before the electrode is completely adapted to its target nerve. It is therefore favorable to simulate many of the steps involved in this process to reduce costs and animal testing. As the...

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Autores principales:	Mortimer Gierthmuehlen, Thomas M Freiman, Kirsten Haastert-Talini, Alexandra Mueller, Jan Kaminsky, Thomas Stieglitz, Dennis T T Plachta
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e94659e0e37c421ca8017b3cc4638267
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spelling	oai:doaj.org-article:e94659e0e37c421ca8017b3cc46382672021-11-18T07:41:51ZComputational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.1932-620310.1371/journal.pone.0066191https://doaj.org/article/e94659e0e37c421ca8017b3cc46382672013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23785485/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The development of neural cuff-electrodes requires several in vivo studies and revisions of the electrode design before the electrode is completely adapted to its target nerve. It is therefore favorable to simulate many of the steps involved in this process to reduce costs and animal testing. As the restoration of motor function is one of the most interesting applications of cuff-electrodes, the position and trajectories of myelinated fibers in the simulated nerve are important. In this paper, we investigate a method for building a precise neuroanatomical model of myelinated fibers in a peripheral nerve based on images obtained using high-resolution light microscopy. This anatomical model describes the first aim of our "Virtual workbench" project to establish a method for creating realistic neural simulation models based on image datasets. The imaging, processing, segmentation and technical limitations are described, and the steps involved in the transition into a simulation model are presented. The results showed that the position and trajectories of the myelinated axons were traced and virtualized using our technique, and small nerves could be reliably modeled based on of light microscopy images using low-cost OpenSource software and standard hardware. The anatomical model will be released to the scientific community.Mortimer GierthmuehlenThomas M FreimanKirsten Haastert-TaliniAlexandra MuellerJan KaminskyThomas StieglitzDennis T T PlachtaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 6, p e66191 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mortimer Gierthmuehlen Thomas M Freiman Kirsten Haastert-Talini Alexandra Mueller Jan Kaminsky Thomas Stieglitz Dennis T T Plachta Computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.
description	The development of neural cuff-electrodes requires several in vivo studies and revisions of the electrode design before the electrode is completely adapted to its target nerve. It is therefore favorable to simulate many of the steps involved in this process to reduce costs and animal testing. As the restoration of motor function is one of the most interesting applications of cuff-electrodes, the position and trajectories of myelinated fibers in the simulated nerve are important. In this paper, we investigate a method for building a precise neuroanatomical model of myelinated fibers in a peripheral nerve based on images obtained using high-resolution light microscopy. This anatomical model describes the first aim of our "Virtual workbench" project to establish a method for creating realistic neural simulation models based on image datasets. The imaging, processing, segmentation and technical limitations are described, and the steps involved in the transition into a simulation model are presented. The results showed that the position and trajectories of the myelinated axons were traced and virtualized using our technique, and small nerves could be reliably modeled based on of light microscopy images using low-cost OpenSource software and standard hardware. The anatomical model will be released to the scientific community.
format	article
author	Mortimer Gierthmuehlen Thomas M Freiman Kirsten Haastert-Talini Alexandra Mueller Jan Kaminsky Thomas Stieglitz Dennis T T Plachta
author_facet	Mortimer Gierthmuehlen Thomas M Freiman Kirsten Haastert-Talini Alexandra Mueller Jan Kaminsky Thomas Stieglitz Dennis T T Plachta
author_sort	Mortimer Gierthmuehlen
title	Computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.
title_short	Computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.
title_full	Computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.
title_fullStr	Computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.
title_full_unstemmed	Computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.
title_sort	computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/e94659e0e37c421ca8017b3cc4638267
work_keys_str_mv	AT mortimergierthmuehlen computationaltissuevolumereconstructionofaperipheralnerveusinghighresolutionlightmicroscopyandreconstruct AT thomasmfreiman computationaltissuevolumereconstructionofaperipheralnerveusinghighresolutionlightmicroscopyandreconstruct AT kirstenhaasterttalini computationaltissuevolumereconstructionofaperipheralnerveusinghighresolutionlightmicroscopyandreconstruct AT alexandramueller computationaltissuevolumereconstructionofaperipheralnerveusinghighresolutionlightmicroscopyandreconstruct AT jankaminsky computationaltissuevolumereconstructionofaperipheralnerveusinghighresolutionlightmicroscopyandreconstruct AT thomasstieglitz computationaltissuevolumereconstructionofaperipheralnerveusinghighresolutionlightmicroscopyandreconstruct AT dennisttplachta computationaltissuevolumereconstructionofaperipheralnerveusinghighresolutionlightmicroscopyandreconstruct
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Computational tissue volume reconstruction of a peripheral nerve using high-resolution light-microscopy and reconstruct.

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