  Poor access to eye care is a major global challenge that could be ameliorated
by low-cost, portable, and easy-to-use diagnostic technologies. Diffuser-based
imaging has the potential to enable inexpensive, compact optical systems that
can reconstruct a focused image of an object over a range of defocus errors.
Here, we present a diffuser-based computational funduscope that reconstructs
important clinical features of a model eye. Compared to existing
diffuser-imager architectures, our system features an infinite-conjugate design
by relaying the ocular lens onto the diffuser. This offers shift-invariance
across a wide field-of-view (FOV) and an invariant magnification across an
extended depth range. Experimentally, we demonstrate fundus image
reconstruction over a 33$^{\circ}$ FOV and robustness to $\pm$4D refractive
error using a constant point-spread-function. Combined with diffuser-based
wavefront sensing, this technology could enable combined ocular aberrometry and
funduscopic screening through a single diffuser sensor.
