Real-time, broadband beam shaping with programmable freeform topologies

Abstract Phase-only spatial light modulators (SLMs) offer versatile beam shaping, but are limited to monochromatic operation due to diffractive dispersion. A potential solution is to implement the smooth wavefront transformation of refractive freeform optics as a phase shift pattern on the SLM, called programmable freeform optics. Unfortunately, current phase-only SLMs can only inflict phase shifts of a few times 2 π . This requires the use of a wrapping procedure that results in discontinuous phase jumps, reintroducing diffractive dispersion. This paper presents a differentiable design method for high-precision, shallow, refractive freeform topologies. These low-relief topologies can be implemented on an SLM, as a phase shift pattern with limited discontinuous phase jumps, allowing full-color beam shaping. This full-color performance is verified in a simulation setting, and is further experimentally analyzed in a setting with a commercial SLM. Differentiable raytracing enables the optimization of depth-constrained freeform surfaces for various source-target settings, but is limited by its computational speed. To address this limitation, an unsupervised learning method is furthermore introduced that predicts freeform topologies with a point source. By wrapping the predicted, resulting phase shifts, this approach enables full-color, real-time beam shaping with a single SLM.

Authors

Institutions

Publication Details

Journal
Journal of Physics Photonics
Published
2025-10-29
DOI
https://doi.org/10.1088/2515-7647/ae191a
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-time, broadband beam shaping with programmable freeform topologies

Youri Meuret, Jeroen Cerpentier
Journal of Physics Photonics
Advanced Optical Imaging Technologies
article

Real-time, broadband beam shaping with programmable freeform topologies

Youri Meuret, Jeroen Cerpentier
article en

Abstract

Abstract Phase-only spatial light modulators (SLMs) offer versatile beam shaping, but are limited to monochromatic operation due to diffractive dispersion. A potential solution is to implement the smooth wavefront transformation of refractive freeform optics as a phase shift pattern on the SLM, called programmable freeform optics. Unfortunately, current phase-only SLMs can only inflict phase shifts of a few times 2 π . This requires the use of a wrapping procedure that results in discontinuous phase jumps, reintroducing diffractive dispersion. This paper presents a differentiable design method for high-precision, shallow, refractive freeform topologies. These low-relief topologies can be implemented on an SLM, as a phase shift pattern with limited discontinuous phase jumps, allowing full-color beam shaping. This full-color performance is verified in a simulation setting, and is further experimentally analyzed in a setting with a commercial SLM. Differentiable raytracing enables the optimization of depth-constrained freeform surfaces for various source-target settings, but is limited by its computational speed. To address this limitation, an unsupervised learning method is furthermore introduced that predicts freeform topologies with a point source. By wrapping the predicted, resulting phase shifts, this approach enables full-color, real-time beam shaping with a single SLM.

Journal of Physics PhotonicsVol. 8(1)
Ghent University (BE)
Fonds Wetenschappelijk Onderzoek, KU Leuven, Vlaamse regering
Openalex Percentile: Top 55%
Advanced Optical Imaging Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.