Ophthalmic imaging

Adaptive optics for ophthalmic imaging 

High-resolution in vivo imaging is of great importance for the fields of biology and medicine. The introduction of hardware- based adaptive optics (HAO) has pushed the limits of optical imaging, enabling high-resolution near diffraction-limited imaging of previously unresolvable structures. In ophthalmology, when combined with optical coherence tomography, HAO has enabled a detailed three-dimensional visualization of photoreceptor distributions and individual nerve fibre bundles in the living human retina. However, the introduction of HAO hardware and supporting software adds considerable complexity and cost to an imaging system, limiting the number of researchers and medical professionals who could benefit from the technology. Whave demonstrated a fully automated computational approach that enables high-resolution in vivo ophthalmic imaging without the need for HAO. Our results highlight that computational methods in coherent microscopy are applicable in highly dynamic living systems.

  • Shemonski ND, South FA, Liu Y-Z, Adie SG, Carney PS, Boppart SA. Computational high-resolution optical imaging of the living human retina.   Nature Photonics, 9:440-443, 2015. 2015.

Functional retinal OCT

In this work, a quantitative analysis of retinal blood vessels from OCT scans was performed in order discover a potential indicator for disease progression of multiple sclerosis. Two future studies were conducted using retinal layer thicknesses as the potential predictor for disease. In these studies, retinal images captured with OCT were segmented by layer to generate quantitative metrics for comparison. Novel ratiometric analyses were subsequently performed to validate the utility of layer thicknesses as predictive factors for both multiple sclerosis and diabetic retinopathy.

  • B. Bhaduri, R. M. Nolan, R. L. Shelton, L. A. Pilutti, R. W. Motl, H. E. Moss, J. H. Pula, & S. A. Boppart, “Detection of retinal blood vessel changes in multiple sclerosis with optical coherence tomography,” Biomedical Optics Express, vol. 7, no. 6, p. 2321, Jun. 2016, doi: 10.1364/BOE.7.002321.
  • B. Bhaduri, R. M. Nolan, R. L. Shelton, L. A. Pilutti, R. W. Motl, & S. A. Boppart, “Ratiometric analysis of in vivo retinal layer thicknesses in multiple sclerosis,” Journal of Biomedical Optics, vol. 21, no. 09, p. 1, Sep. 2016, doi: 10.1117/1.JBO.21.9.095001.
  • B. Bhaduri, R. L. Shelton, R. M. Nolan, L. Hendren, A. Almasov, L. T. LabriolaS. A. Boppart, “Ratiometric analysis of optical coherence tomography-measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy,” Journal of Biophotonics, vol. 10, no. 11, pp. 1430–1441, Nov. 2017, doi: 10.1002/jbio.201600282.