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Real-time large-area imaging of the corneal subbasal nerve plexus

The morphometric assessment of the corneal subbasal nerve plexus (SNP) by confocal microscopy holds great potential as a sensitive biomarker for various ocular and systemic conditions and diseases. Automated wide-field montages (or large-area mosaic images) of the SNP provide an opportunity to overc...

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Autores principales: Allgeier, Stephan, Bartschat, Andreas, Bohn, Sebastian, Guthoff, Rudolf F., Hagenmeyer, Veit, Kornelius, Lukas, Mikut, Ralf, Reichert, Klaus-Martin, Sperlich, Karsten, Stache, Nadine, Stachs, Oliver, Köhler, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847362/
https://www.ncbi.nlm.nih.gov/pubmed/35169133
http://dx.doi.org/10.1038/s41598-022-05983-5
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author Allgeier, Stephan
Bartschat, Andreas
Bohn, Sebastian
Guthoff, Rudolf F.
Hagenmeyer, Veit
Kornelius, Lukas
Mikut, Ralf
Reichert, Klaus-Martin
Sperlich, Karsten
Stache, Nadine
Stachs, Oliver
Köhler, Bernd
author_facet Allgeier, Stephan
Bartschat, Andreas
Bohn, Sebastian
Guthoff, Rudolf F.
Hagenmeyer, Veit
Kornelius, Lukas
Mikut, Ralf
Reichert, Klaus-Martin
Sperlich, Karsten
Stache, Nadine
Stachs, Oliver
Köhler, Bernd
author_sort Allgeier, Stephan
collection PubMed
description The morphometric assessment of the corneal subbasal nerve plexus (SNP) by confocal microscopy holds great potential as a sensitive biomarker for various ocular and systemic conditions and diseases. Automated wide-field montages (or large-area mosaic images) of the SNP provide an opportunity to overcome the limited field of view of the available imaging systems without the need for manual, subjective image selection for morphometric characterization. However, current wide-field montaging solutions usually calculate the mosaic image after the examination session, without a reliable means for the clinician to predict or estimate the resulting mosaic image quality during the examination. This contribution describes a novel approach for a real-time creation and visualization of a mosaic image of the SNP that facilitates an informed evaluation of the quality of the acquired image data immediately at the time of recording. In cases of insufficient data quality, the examination can be aborted and repeated immediately, while the patient is still at the microscope. Online mosaicking also offers the chance to identify an overlap of the imaged tissue region with previous SNP mosaic images, which can be particularly advantageous for follow-up examinations.
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spelling pubmed-88473622022-02-16 Real-time large-area imaging of the corneal subbasal nerve plexus Allgeier, Stephan Bartschat, Andreas Bohn, Sebastian Guthoff, Rudolf F. Hagenmeyer, Veit Kornelius, Lukas Mikut, Ralf Reichert, Klaus-Martin Sperlich, Karsten Stache, Nadine Stachs, Oliver Köhler, Bernd Sci Rep Article The morphometric assessment of the corneal subbasal nerve plexus (SNP) by confocal microscopy holds great potential as a sensitive biomarker for various ocular and systemic conditions and diseases. Automated wide-field montages (or large-area mosaic images) of the SNP provide an opportunity to overcome the limited field of view of the available imaging systems without the need for manual, subjective image selection for morphometric characterization. However, current wide-field montaging solutions usually calculate the mosaic image after the examination session, without a reliable means for the clinician to predict or estimate the resulting mosaic image quality during the examination. This contribution describes a novel approach for a real-time creation and visualization of a mosaic image of the SNP that facilitates an informed evaluation of the quality of the acquired image data immediately at the time of recording. In cases of insufficient data quality, the examination can be aborted and repeated immediately, while the patient is still at the microscope. Online mosaicking also offers the chance to identify an overlap of the imaged tissue region with previous SNP mosaic images, which can be particularly advantageous for follow-up examinations. Nature Publishing Group UK 2022-02-15 /pmc/articles/PMC8847362/ /pubmed/35169133 http://dx.doi.org/10.1038/s41598-022-05983-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Allgeier, Stephan
Bartschat, Andreas
Bohn, Sebastian
Guthoff, Rudolf F.
Hagenmeyer, Veit
Kornelius, Lukas
Mikut, Ralf
Reichert, Klaus-Martin
Sperlich, Karsten
Stache, Nadine
Stachs, Oliver
Köhler, Bernd
Real-time large-area imaging of the corneal subbasal nerve plexus
title Real-time large-area imaging of the corneal subbasal nerve plexus
title_full Real-time large-area imaging of the corneal subbasal nerve plexus
title_fullStr Real-time large-area imaging of the corneal subbasal nerve plexus
title_full_unstemmed Real-time large-area imaging of the corneal subbasal nerve plexus
title_short Real-time large-area imaging of the corneal subbasal nerve plexus
title_sort real-time large-area imaging of the corneal subbasal nerve plexus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847362/
https://www.ncbi.nlm.nih.gov/pubmed/35169133
http://dx.doi.org/10.1038/s41598-022-05983-5
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