Hybrid physics-guided data-driven modeling for generalizable geometric accuracy prediction and improvement in two-photon lithography

Jia, Sixian; Sun, Jieliyue; Howes, Andrew; Dawson, Michelle R.; Toussaint, Kimani C.; Shao, Chenhui

doi:10.1016/j.jmapro.2023.12.024

Journal of Manufacturing Processes

2024

DOI: 10.1016/j.jmapro.2023.12.024

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Hybrid physics-guided data-driven modeling for generalizable geometric accuracy prediction and improvement in two-photon lithography

Sixian Jia,

Jieliyue Sun,

Andrew Howes

et al.

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2024

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Cited by 4 publications

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Multiphoton Polymerization-based Micro/Nanomanufacturing Toward Precision Medicine

Hu,

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Multiphoton Polymerization-based Micro/Nanomanufacturing Toward Precision Medicine

Hu,

Ren,

et al. 2024

Engineering

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Filtered kriging for improved interpolation of periodic manufacturing surfaces

Dong,

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Shao

2024

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Automated brightfield layerwise evaluation in three-dimensional micropatterning via two-photon polymerization

Sun,

Howes,

Jia

et al. 2024

Opt. Express

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Two-photon polymerization (TPP) is an advanced 3D fabrication technique capable of creating features with submicron precision. A primary challenge in TPP lies in the facile and accurate characterization of fabrication quality, particularly for structures possessing complex internal features. In this study, we introduce an automated brightfield layerwise evaluation technique that enables a simple-to-implement approach for in situ monitoring and quality assessment of TPP-fabricated structures. Our approach relies on sequentially acquired brightfield images during the TPP writing process and using background subtraction and image processing to extract layered spatial features. We experimentally validate our method by printing a fibrous tissue scaffold and successfully achieve an overall system-adjusted fidelity of 87.5% in situ. Our method is readily adaptable in most TPP systems and can potentially facilitate high-quality TPP manufacturing of sophisticated microstructures.

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Hybrid physics-guided data-driven modeling for generalizable geometric accuracy prediction and improvement in two-photon lithography

Cited by 4 publications

References 35 publications

Multiphoton Polymerization-based Micro/Nanomanufacturing Toward Precision Medicine

Multiphoton Polymerization-based Micro/Nanomanufacturing Toward Precision Medicine

Filtered kriging for improved interpolation of periodic manufacturing surfaces

Automated brightfield layerwise evaluation in three-dimensional micropatterning via two-photon polymerization

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