Summary
The ability to manipulate and track neuronal communication is essential to understanding the mechanisms underlying our sensations, perceptions, thoughts, emotions and actions. With a growing toolbox of optical dyes, genetic sensors and actuators, Neuroscience has made science fiction-scale progress toward realizing this important prerequisite for neural circuit reverse engineering. A parallel revolution in photonics research is taking shape to exploit the full potential of photo-molecular tools for brain circuit interrogation. My goal is to engineer bridges between recent optical technology and Neurophysiologists endeavoring to close the loop between theory and experimentation.
Publications
Journals
Quicke P, Sun Y, Beykou M, et al., 2022, Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells, Communications Biology, Vol:5, ISSN:2399-3642
Verinaz-Jadan H, Howe CL, Song P, et al., 2022, Physics-based Deep Learning for Imaging Neuronal Activity via Two-photon and Light Field Microscopy
Verinaz-Jadan H, Song P, Howe CL, et al., 2022, Shift-invariant-subspace discretization and volume reconstruction for light field microscopy, Ieee Transactions on Computational Imaging, Vol:8, ISSN:2573-0436, Pages:286-301
Howe C, Song P, Verinaz Jadan HI, et al., 2022, Comparing synthetic refocusing to deconvolution for the extraction of neuronal calcium transients from light fields, Neurophotonics, Vol:9, ISSN:2329-4248, Pages:1-17
Foust A, Song P, Verinaz Jadan HI, et al., 2022, Light-field microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches, Ieee: Signal Processing Magazine, Vol:39, ISSN:1053-5888