3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus

Abstract The capability of corneal confocal microscopy (CCM) to acquire high-resolution in vivo images of the densely innervated human cornea has gained considerable interest in using this non-invasive technique as an objective diagnostic tool for staging peripheral neuropathies. Morphological alter...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Stephan Allgeier, Andreas Bartschat, Sebastian Bohn, Sabine Peschel, Klaus-Martin Reichert, Karsten Sperlich, Marcus Walckling, Veit Hagenmeyer, Ralf Mikut, Oliver Stachs, Bernd Köhler
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4ca92d28007a4e339bb4a5dac1cc0ce2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4ca92d28007a4e339bb4a5dac1cc0ce2
record_format	dspace
spelling	oai:doaj.org-article:4ca92d28007a4e339bb4a5dac1cc0ce22021-12-02T12:32:59Z3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus10.1038/s41598-018-25915-62045-2322https://doaj.org/article/4ca92d28007a4e339bb4a5dac1cc0ce22018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25915-6https://doaj.org/toc/2045-2322Abstract The capability of corneal confocal microscopy (CCM) to acquire high-resolution in vivo images of the densely innervated human cornea has gained considerable interest in using this non-invasive technique as an objective diagnostic tool for staging peripheral neuropathies. Morphological alterations of the corneal subbasal nerve plexus (SNP) assessed by CCM have been shown to correlate well with the progression of neuropathic diseases and even predict future-incident neuropathy. Since the field of view of single CCM images is insufficient for reliable characterisation of nerve morphology, several image mosaicking techniques have been developed to facilitate the assessment of the SNP in large-area visualisations. Due to the limited depth of field of confocal microscopy, these approaches are highly sensitive to small deviations of the focus plane from the SNP layer. Our contribution proposes a new automated solution, combining guided eye movements for rapid expansion of the acquired SNP area and axial focus plane oscillations to guarantee complete imaging of the SNP. We present results of a feasibility study using the proposed setup to evaluate different oscillation settings. By comparing different image selection approaches, we show that automatic tissue classification algorithms are essential to create high-quality mosaic images from the acquired 3D datasets.Stephan AllgeierAndreas BartschatSebastian BohnSabine PeschelKlaus-Martin ReichertKarsten SperlichMarcus WalcklingVeit HagenmeyerRalf MikutOliver StachsBernd KöhlerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Stephan Allgeier Andreas Bartschat Sebastian Bohn Sabine Peschel Klaus-Martin Reichert Karsten Sperlich Marcus Walckling Veit Hagenmeyer Ralf Mikut Oliver Stachs Bernd Köhler 3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
description	Abstract The capability of corneal confocal microscopy (CCM) to acquire high-resolution in vivo images of the densely innervated human cornea has gained considerable interest in using this non-invasive technique as an objective diagnostic tool for staging peripheral neuropathies. Morphological alterations of the corneal subbasal nerve plexus (SNP) assessed by CCM have been shown to correlate well with the progression of neuropathic diseases and even predict future-incident neuropathy. Since the field of view of single CCM images is insufficient for reliable characterisation of nerve morphology, several image mosaicking techniques have been developed to facilitate the assessment of the SNP in large-area visualisations. Due to the limited depth of field of confocal microscopy, these approaches are highly sensitive to small deviations of the focus plane from the SNP layer. Our contribution proposes a new automated solution, combining guided eye movements for rapid expansion of the acquired SNP area and axial focus plane oscillations to guarantee complete imaging of the SNP. We present results of a feasibility study using the proposed setup to evaluate different oscillation settings. By comparing different image selection approaches, we show that automatic tissue classification algorithms are essential to create high-quality mosaic images from the acquired 3D datasets.
format	article
author	Stephan Allgeier Andreas Bartschat Sebastian Bohn Sabine Peschel Klaus-Martin Reichert Karsten Sperlich Marcus Walckling Veit Hagenmeyer Ralf Mikut Oliver Stachs Bernd Köhler
author_facet	Stephan Allgeier Andreas Bartschat Sebastian Bohn Sabine Peschel Klaus-Martin Reichert Karsten Sperlich Marcus Walckling Veit Hagenmeyer Ralf Mikut Oliver Stachs Bernd Köhler
author_sort	Stephan Allgeier
title	3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
title_short	3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
title_full	3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
title_fullStr	3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
title_full_unstemmed	3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
title_sort	3d confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/4ca92d28007a4e339bb4a5dac1cc0ce2
work_keys_str_mv	AT stephanallgeier 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT andreasbartschat 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT sebastianbohn 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT sabinepeschel 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT klausmartinreichert 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT karstensperlich 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT marcuswalckling 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT veithagenmeyer 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT ralfmikut 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT oliverstachs 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus AT berndkohler 3dconfocallaserscanningmicroscopyforlargeareaimagingofthecornealsubbasalnerveplexus
_version_	1718393915781939200

3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus

Ejemplares similares