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Wide-field corneal subbasal nerve plexus mosaics in age-controlled healthy and type 2 diabetes populations
Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Anaesthetics, Operations and Specialty Surgery Center, Department of Ophthalmology in Linköping.ORCID iD: 0000-0003-1079-4361
Karlsruhe Inst Technol, Germany.
Univ Padua, Italy.
Univ Coll Southeast Norway, Norway; Oslo Univ Hosp, Norway; Univ Oslo, Norway.
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2018 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 5, article id 180075Article in journal (Refereed) Published
Abstract [en]

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 corneas 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.

Place, publisher, year, edition, pages
Nature Publishing Group, 2018. Vol. 5, article id 180075
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:liu:diva-147931DOI: 10.1038/sdata.2018.75ISI: 000430690900003PubMedID: 29688226OAI: oai:DiVA.org:liu-147931DiVA, id: diva2:1209546
Note

Funding Agencies|Vasterbotten County Council; Umea University, Sweden; Skane University Hospital; Lund University, Sweden; Ogonfonden in Sweden; Marie Curie grant from the European Commission [316990]; DFG (German Research Foundation) [KO 5003/1-1]; Helmholtz Association, Germany

Available from: 2018-05-23 Created: 2018-05-23 Last updated: 2019-01-22Bibliographically approved

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Division of Neuro and Inflammation ScienceFaculty of Medicine and Health SciencesDepartment of Ophthalmology in Linköping
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