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WGA Rescources

Abstract #25518 Published in IGR 12-1

In vivo fluorescence mode confocal microscopy of subepithelial tissues in glaucoma filtering blebs

Wells A P; Wakely L; Birchall W
Ophthalmic Surgery Lasers and Imaging 2010; 41: 78-82


BACKGROUND AND OBJECTIVE: The miniaturization of confocal imaging technology has resulted in the development of a handheld confocal microscope probe capable of fluorescence mode imaging. Findings in the subepithelial tissues of glaucoma filtering blebs using this novel approach for proof of concept are described. PATIENTS AND METHODS: A fiberoptic confocal imaging probe using an illumination wavelength of 488 nm was applied to the bleb surface of 11 eyes after topical or subconjunctival administration of sodium fluorescein. The imaging plane was moved to the subepithelial region and multiple images from multiple bleb regions were captured at a resolution of 1,024 X 1,024 pixels per square inch. RESULTS: High-quality images of the bleb wall structure, vasculature, and superficial sclera were obtained and demonstrated subcellular detail. Lateral resolution was between 1 and 1.5 (mu)m and axial resolution was approximately 30 (mu)m. Identifiable structures in the failing blebs included vasculature (including individual erythrocytes, pericytes, and vascular endothelium); microcystic structures; and cells within the Tenon's tissue, some of which resembled fibroblasts. CONCLUSION: Fluorescence mode imaging of ocular subsurface detail is a viable and promising tool for assessment of wound healing and other processes in trabeculectomy blebs. The ability to image fluorophores creates the possibility of functional imaging.

A. P. Wells. Ophthalmology Unit, Department of Surgery, Wellington School of Medicine, Mein Street, Wellington 6008, New Zealand.


Classification:

12.8.1 Without tube implant (Part of: 12 Surgical treatment > 12.8 Filtering surgery)
6.9.1.1 Confocal Scanning Laser Ophthalmoscopy (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.1 Laser scanning)



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