Algorithmic considerations for complex light

Andreas Erik Gejl Madsen, René L. Eriksen, Jesper Glückstad*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Computer Generated Holography (CGH) promises unprecedented capabilities for a variety of applications in Optics and Photonics. However, one of the biggest challenges for CGHs is the fundamental tradeoff between algorithm runtime and achieved reconstruction fidelity and efficiency while maintaining light projections at real-time frame rates. In addition, the light projection quality achieved by most CGH-modalities are rather low due to the mismatch between the optical wave propagation of the applied Spatial Light Modulator (SLM) and its simulated model. A promising new avenue of CGH, neural holography, utilizes machine learning models in the generation of single and multi plane holograms. Neural network generated holograms have the distinct advantage that inference is performed in constant time without the need for iterative calculations of the phase SLM pattern. This allows the networks to generate holograms 3-500 times faster than traditional iterative algorithms, which enables the applications dependent on real-time holography. State-of-the-art implementations of neural holography [1, 2] furthermore achieve higher accuracy than traditional iterative algorithm, when compared to target images. Applications of these SLM-encoded CGHs include all areas where a fast and parallel one- or two-photon light excitation is needed such as in Laser Material Processing, Additive Manufacturing and 3D printing, Neurophotonics and Optogenetics, Laser Image Projection and many more.
Original languageEnglish
Title of host publicationComplex Light and Optical Forces XV
EditorsEnrique J. Galvez, Halina Rubinsztein-Dunlop, David L. Andrews
Number of pages10
Volume11701
PublisherSPIE - International Society for Optical Engineering
Publication date2021
Article number1170116
DOIs
Publication statusPublished - 2021
EventSpie Opto - Online, California, United States
Duration: 6. Mar 202112. Mar 2021

Conference

ConferenceSpie Opto
Country/TerritoryUnited States
CityOnline, California
Period06/03/202112/03/2021

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