Cones and axial length
Under construction...
Adaptive optics control
American
control conference talk ppt
on/off demo (51 mb)
Retinal layers step through (128 mb)
Cone counting
The image below is processed by our cone counting algorithm. GUIs are still being developed so we are currently sharing our code in Matlab function format only. Brief documentations are given in each function and can be accessed by entering "help function-name" at the Matlab command line if the function is downloaded to your current directory.
AOim2xy - Takes an image in matrix form (uses function imread) and computes the cone location and outputs the X and Y coordinates of each cone as two column vectors of integers. Needs Matlab Image Processing Toolbox. Optimal filtering is not used in this function because it cannot be implemented easily without the Signal Processing Toolbox.
AOhexPct - Takes cone coordinates (X and Y) as inputs and computes the percentage to which they are arranged hexagonally. Only one number is outputted, a percentage.
AOdensity - Takes cone coordinates (X and Y) as inputs and returns a vector of the same length containing the cone density computed at the corresponding coordinate. The output vector can be used to generate a surface plot or contour map of cone densities (see function griddata).
Dynamics of the human tear film (Rochester)
The Hartmann-Shack wavefront sensor has become ubiquitous recently because it has been demonstrated to make reliable wavefront measurements for vision correction. However, it has come into question multiple times in recent papers that the Hartmann-Shack wavefront sensor fails to measure aberrations due to the tear film and should not be used for certain experiments. Our work demonstrated that this is not exactly the case. The progression of tear film degradation can be seen clearly in the raw Hartmann-Shack data. If such changes in aberrations cannot be seen in the reconstructed wavefront, the method for wavefront reconstruction must not be appropriate for this application. The corresponding video of the wavefront computed using a Fourier transform reconstructor can be downloaded here. The reconstructed wavefront clearly reflects what can be seen from the raw data alone.