Ultrahigh resolution optical coherence tomography of the monkey fovea. Identification of retinal sublayers by correlation with semithin histology sections
| Autor: | Christian Schubert, Wolfgang Drexler, Peter K. Ahnelt, Angelika Unterhuber, Harald Sattmann, A. Cowey, Boris Hermann, James Edwards Morgan, E.M. Anger |
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| Rok vydání: | 2004 |
| Předmět: |
Fovea Centralis
Materials science genetic structures Optic Disk Normalization (image processing) Retina Cellular and Molecular Neuroscience chemistry.chemical_compound Optics Optical coherence tomography medicine Animals medicine.diagnostic_test business.industry Resolution (electron density) Retinal Histology eye diseases Sensory Systems Macaca fascicularis Ophthalmology medicine.anatomical_structure chemistry Ultrahigh resolution sense organs Tomography Artifacts business Tomography Optical Coherence Photoreceptor Cells Vertebrate |
| Zdroj: | Experimental Eye Research. 78:1117-1125 |
| ISSN: | 0014-4835 |
| Popis: | Optical coherence tomography (OCT) has become an established diagnostic tool for the clinical assessment of retinal pathology but correlation of acquired signals with retinal substructures has often been ambiguous. In the monkey retina we have now obtained ultrahigh resolution (UHR) OCT images with 1.4 microm axial x 3 microm transverse resolution from perfusion-fixed eye cups of Macaca fascicularis and optimized the identification of retinal anatomy by correction of spatial artefacts in correlated histology. After resin embedding, serial semithin sections were obtained that corresponded to OCT transects. The direct overlay of features identified in histological sections with corresponding OCT locations was limited by non-linear tissue shrinkage due to dehydration and sectioning stress. In the present study, these misalignments were further corrected by using polygonal spline morphing based on corresponding unequivocal landmarks. The geometric normalization then allowed detailed comparison of both profiles including delicate sublayers of photoreceptor inner- and outer segments. Such correlation will facilitate the extraction of structural information from in vivo ultrahigh resolution OCT images in clinical and experimental applications. |
| Databáze: | OpenAIRE |
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