Journal
OPTICA
Volume 4, Issue 10, Pages 1306-1313Publisher
OPTICAL SOC AMER
DOI: 10.1364/OPTICA.4.001306
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Funding
- National Institutes of Health (NIH) [EY027597-01]
- Office of Naval Research (ONR) [N00014-17-1-2401]
- New York Stem Cell Foundation (NYSCF)
- Arnold and Mabel Beckman Foundation
- Defense Advanced Research Projects Agency (DARPA) [N66001-17-C-4015]
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3D computer-generated holography uses a digital phase mask to shape the wavefront of a laser beam into a userspecified 3D intensity pattern. Algorithms take the target 3D intensity as input and compute the hologram that generates it. However, arbitrary patterns are generally infeasible, so solutions are approximate and often sub-optimal. Here, we propose a new non-convex optimization algorithm that computes holograms by minimizing a custom cost function that is tailored to particular applications (e.g., lithography, neural photostimulation) or leverages additional information like sample shape and nonlinearity. Our method is robust and accurate, and it out-performs existing algorithms. (C) 2017 Optical Society of America
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