advertisement

WGA Rescources

Abstract #52485 Published in IGR 15-1

Direct trabecular meshwork imaging in porcine eyes through multiphoton gonioscopy

Masihzadeh O; Ammar DA; Kahook MY; Gibson EA; Lei TC
Journal of biomedical Optics 2013; 18: 036009

See also comment(s) by James Tan


The development of technologies to characterize the ocular aqueous outflow system (AOS) is important for the understanding of the pathophysiology of glaucoma. Multiphoton microscopy (MPM) offers the advantage of high-resolution, label-free imaging with intrinsic image contrast because the emitted signals result from the specific biomolecular content of the tissue. Previous attempts to use MPM to image the murine irido-corneal region directly through the sclera have suffered from degradation in image resolution due to scattering of the focused laser light. As a result, transscleral MPM has limited ability to observe fine structures in the AOS. In this work, the porcine irido-corneal angle was successfully imaged through the transparent cornea using a gonioscopic lens to circumvent the highly scattering scleral tissue. The resulting high-resolution images allowed the detailed structures in the trabecular meshwork (TM) to be observed. Multimodal imaging by two-photon autofluorescence and second harmonic generation allowed visualization of different features in the TM without labels and without disruption of the TM or surrounding tissues. MPM gonioscopy is a promising noninvasive imaging tool for high-resolution studies of the AOS, and research continues to explore the potential for future clinical applications in humans.

Department of Ophthalmology, University of Colorado Denver, 12800 East 19th Avenue Mailstop 8311, Aurora, Colorado 80045, USA.

Full article

Classification:

5.3 Other (Part of: 5 Experimental glaucoma; animal models)
2.5.1 Trabecular meshwork (Part of: 2 Anatomical structures in glaucoma > 2.5 Meshwork)
6.4 Gonioscopy (Part of: 6 Clinical examination methods)



Issue 15-1

Change Issue


advertisement

WGA Rescources