Related Experiment Video
Updated: Jul 14, 2026

07:51
Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
Published on: October 21, 2022
Nondestructive quantification of analyte diffusion in cornea and sclera using optical coherence tomography.
Mohamad G Ghosn1, Valery V Tuchin, Kirill V Larin
1Biomedical Engineering Program, University of Houston, Houston, Texas 77204, USA.
Investigative Ophthalmology & Visual Science
|May 26, 2007
Summary
Optical coherence tomography (OCT) noninvasively quantifies analyte diffusion in rabbit ocular tissues. This technique shows promise for eye disease diagnostics and therapy, though further refinement is needed for low-concentration agents.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Medical Imaging
Background:
- Noninvasive monitoring of analyte transport in ocular tissues is crucial for diagnosing and treating eye diseases.
- Optical coherence tomography (OCT) offers potential for such noninvasive investigations.
Purpose of the Study:
- To evaluate the capability of OCT for noninvasive monitoring and quantification of analyte diffusion in rabbit cornea and sclera.
- To assess the utility of OCT in understanding drug and metabolite transport in the eye.
Main Methods:
- A portable time-domain OCT system (1310 nm) was employed to study diffusion in rabbit eyes.
- Diffusion of water, metronidazole, dexamethasone, ciprofloxacin, mannitol, and glucose was monitored.
- Permeability coefficients were calculated using OCT signal slope and depth-resolved amplitude methods.
Main Results:
- Permeability coefficients were successfully calculated for various analytes in cornea and sclera.
- Mannitol exhibited distinct permeability coefficients in cornea and sclera.
- Concentration-dependent variations in permeability coefficients were observed, particularly for higher concentrations.
Conclusions:
- OCT is a promising tool for noninvasive diffusion studies in ocular tissues.
- Further advancements in OCT signal acquisition and processing are necessary for analyzing low-concentration analytes.

