Automatization Steps for Laser Direct Writing

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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Details

Original languageEnglish
Title of host publication2023 23rd International Conference on Transparent Optical Networks
Subtitle of host publicationICTON
EditorsMarek Jaworski, Marian Marciniak
PublisherIEEE Computer Society
ISBN (electronic)9798350303032
ISBN (print)979-8-3503-0304-9
Publication statusPublished - 2023
Event23rd International Conference on Transparent Optical Networks, ICTON 2023 - Bucharest, Romania
Duration: 2 Jul 20236 Jul 2023

Publication series

NameInternational Conference on Transparent Optical Networks
Volume2023-July
ISSN (electronic)2162-7339

Abstract

Two-photon polymerisation (TPP) is an additive manufacturing tool based on laser direct writing with sub-wavelength resolution. It has received enormous attention in recent years because it enables the production of precision polymer micro-optics without post-processing steps as well as three-dimensional diffractive optical structures. However, TPP is still a laboratory-level technology which requires elaborate and time-consuming alignment steps. This paper will present our approach to automatize many of these steps.

Keywords

    automatization, camera alignment, focus detection, laser direct writing, two-photon polymerization

ASJC Scopus subject areas

Cite this

Automatization Steps for Laser Direct Writing. / Caspary, Reinhard; Zheng, Lei; Günther, Axel et al.
2023 23rd International Conference on Transparent Optical Networks: ICTON. ed. / Marek Jaworski; Marian Marciniak. IEEE Computer Society, 2023. (International Conference on Transparent Optical Networks; Vol. 2023-July).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Caspary, R, Zheng, L, Günther, A & Roth, B 2023, Automatization Steps for Laser Direct Writing. in M Jaworski & M Marciniak (eds), 2023 23rd International Conference on Transparent Optical Networks: ICTON. International Conference on Transparent Optical Networks, vol. 2023-July, IEEE Computer Society, 23rd International Conference on Transparent Optical Networks, ICTON 2023, Bucharest, Romania, 2 Jul 2023. https://doi.org/10.1109/ICTON59386.2023.10207338
Caspary, R., Zheng, L., Günther, A., & Roth, B. (2023). Automatization Steps for Laser Direct Writing. In M. Jaworski, & M. Marciniak (Eds.), 2023 23rd International Conference on Transparent Optical Networks: ICTON (International Conference on Transparent Optical Networks; Vol. 2023-July). IEEE Computer Society. https://doi.org/10.1109/ICTON59386.2023.10207338
Caspary R, Zheng L, Günther A, Roth B. Automatization Steps for Laser Direct Writing. In Jaworski M, Marciniak M, editors, 2023 23rd International Conference on Transparent Optical Networks: ICTON. IEEE Computer Society. 2023. (International Conference on Transparent Optical Networks). doi: 10.1109/ICTON59386.2023.10207338
Caspary, Reinhard ; Zheng, Lei ; Günther, Axel et al. / Automatization Steps for Laser Direct Writing. 2023 23rd International Conference on Transparent Optical Networks: ICTON. editor / Marek Jaworski ; Marian Marciniak. IEEE Computer Society, 2023. (International Conference on Transparent Optical Networks).
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abstract = "Two-photon polymerisation (TPP) is an additive manufacturing tool based on laser direct writing with sub-wavelength resolution. It has received enormous attention in recent years because it enables the production of precision polymer micro-optics without post-processing steps as well as three-dimensional diffractive optical structures. However, TPP is still a laboratory-level technology which requires elaborate and time-consuming alignment steps. This paper will present our approach to automatize many of these steps.",
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Download

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AU - Caspary, Reinhard

AU - Zheng, Lei

AU - Günther, Axel

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N1 - Funding Information: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453).

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KW - focus detection

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