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

Allgeier, Stephan ORCID iD icon 1; Bartschat, Andreas 1; Bohn, Sebastian; Guthoff, Rudolf F.; Hagenmeyer, Veit 1; Kornelius, Lukas 1; Mikut, Ralf ORCID iD icon 1; Reichert, Klaus-Martin 1; Sperlich, Karsten; Stache, Nadine; Stachs, Oliver; Köhler, Bernd 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000143219
Veröffentlicht am 22.02.2022
Originalveröffentlichung
DOI: 10.1038/s41598-022-05983-5
Scopus
Zitationen: 5
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 02.2022
Sprache Englisch
Identifikator ISSN: 2045-2322
KITopen-ID: 1000143219
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Weitere HGF-Programme 47.14.02 (POF IV, LK 01) Information Storage and Processing in the Cell Nucleus
Erschienen in Scientific reports
Verlag Nature Research
Band 12
Seiten Article no: 2481
Projektinformation 3D-CCM (DFG, DFG EIN, MI 1315/5-2)
3D-CCM (DFG, DFG EIN, KO 5003/1-2)
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 15.02.2022
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