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Wide-field corneal subbasal nerve plexus mosaics in age-controlled healthy and type 2 diabetes populations

Lagali, Neil S.; Allgeier, Stephan ORCID iD icon 1; Guimarães, Pedro; Badian, Reza A.; Ruggeri, Alfredo; Köhler, Bernd 1; Utheim, Tor Paaske; Peebo, Beatrice; Peterson, Magnus; Dahlin, Lars B.; Rolandsson, Olov
1 Institut für Angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)


A dense nerve plexus in the clear outer window of the eye, the cornea, can be imaged in vivo to enable non-invasive monitoring of peripheral nerve degeneration in diabetes. However, a limited field of view of corneal nerves, operator-dependent image quality, and subjective image sampling methods have led to difficulty in establishing robust diagnostic measures relating to the progression of diabetes and its complications. Here, we use machine-based algorithms to provide wide-area mosaics of the cornea’s subbasal nerve plexus (SBP) also accounting for depth (axial) fluctuation of the plexus. Degradation of the SBP with age has been mitigated as a confounding factor by providing a dataset comprising healthy and type 2 diabetes subjects of the same age. To maximize reuse, the dataset includes bilateral eye data, associated clinical parameters, and machine-generated SBP nerve density values obtained through automatic segmentation and nerve tracing algorithms. The dataset can be used to examine nerve degradation patterns to develop tools to non-invasively monitor diabetes progression while avoiding narrow-field imaging and image selection biases.

Verlagsausgabe §
DOI: 10.5445/IR/1000082513
Veröffentlicht am 02.05.2018
DOI: 10.1038/sdata.2018.75
Zitationen: 24
Web of Science
Zitationen: 22
Zitationen: 24
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 2052-4463
KITopen-ID: 1000082513
HGF-Programm 43.23.02 (POF III, LK 01) X-Ray Optics
Erschienen in Scientific data
Verlag Nature Research
Band 5
Seiten Art.Nr. 180075
Projektinformation DFG, DFG EIN, KO 5003/1-1
Vorab online veröffentlicht am 24.04.2018
Nachgewiesen in Web of Science
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