D. Psaltis

An actor-model framework for visual sensory encoding

The paper introduces an actor-model framework for visual sensory encoding that outperforms learning-free methods by leveraging retinal network computations for image down-sampling.

Stain-free nucleus identification in holographic learning flow cyto-tomography

This paper introduces a computational method to identify cell nuclei in stain-free holographic flow cytometry data using statistical inference, validated against confocal microscopy.