Shaping caustics into propagation-invariant lightOpen Access

Zannotti Alessandro, Denz Cornelia, Alonso Miguel A.,Dennis Mark R.

Research article (journal) | Peer reviewed

Abstract

Structured light has revolutionized optical particle manipulation, nano-scaled material processing, and high-resolution imaging. In particular, propagation-invariant light fields such as Bessel, Airy, or Mathieu beams show high robustness and have a self-healing nature. To generalize such beneficial features, these light fields can be understood in terms of caustics. However, only simple caustics have found applications in material processing, optical trapping, or cell microscopy. Thus, these technologies would greatly benefit from methods to engineer arbitrary intensity shapes well beyond the standard families of caustics. We introduce a general approach to arbitrarily shape propagation-invariant beams by smart beam design based on caustics. We develop two complementary methods, and demonstrate various propagation-invariant beams experimentally, ranging from simple geometric shapes to complex image configurations such as words. Our approach generalizes caustic light from the currently known small subset to a complete set of tailored propagation-invariant caustics with intensities concentrated around any desired curve

Details about the publication

JournalNature Communications
Volume11
StatusPublished
Release year2020
Language in which the publication is writtenEnglish
DOI10.1038/s41467-020-17439-3
Link to the full texthttps://www.uni-muenster.de/Physik.AP/Denz/Forschen/Publikationen/2019-2020.html

Authors from the University of Münster

Denz, Cornelia
Professur für Angewandte Physik (Prof. Denz)
Zannotti, Alessandro
Professur für Angewandte Physik (Prof. Denz)

Preisverleihungen erhalten für die Publikation

Customizing Caustics [(Selected as one of 30 most exciting peer-reviewed optics researchs in 2020)
Awarded by: Optical Society of America; Journal "Optics and Photonics News"
Award given to: Zannotti, Alessandro; Alonso, Miguel A.; Dennis Marc R; Denz, Cornelia.
Announced at: 15/12/2020 | Date of awarding: 15/12/2020
Type of distinction: Best publication award