Recent advances in voltage imaging have opened the door to high-speed recordings of neural activity. In combination with spatially patterned optogenetic stimulation, one can measure the response of a neural circuit to nearly arbitrary spatiotemporal input patterns. These tools have been applied to studies on cultured neurons (primary and human stem cell-derived) in models of health and disease; to recordings of circuit dynamics in awake, behaving mice and fish; and to measurements on engineered cell lines. With the incredible power of these tools comes great computational challenges. I will describe some of the challenges associated with segmenting, classifying, and interpreting optical electrophysiology data.