  Access to eye care can be expanded with high-throughput, easy-to-use, and
portable diagnostic tools. Phase mask encoded imaging could improve these
aspects of the fundus camera by enabling computational refocusing without any
moving parts. This approach circumvents the need to adjust lenses to compensate
for refractive errors. We developed a computational fundus camera by
introducing a holographic diffuser at the plane conjugate to the ocular pupil,
resulting in a laterally shift-invariant point spread function. We demonstrate
computational refocusing of a model eye fundus over a large range of defocus
errors. We also show computationally refocused, color, in vivo, human fundus
images with a $\geq$35-degree field-of-view (FOV). This technology could
eventually be combined with the wavefront-sensing capabilities of phase mask
encoded imaging to create a compact ophthalmic imaging system that
simultaneously captures a fundus image and performs aberrometry.
