Segmented projection image translation for large-area, high-resolution vat photopolymerization
High-resolution projection-based vat photopolymerization (VP) 3D printing enables rapid fabrication of highly detailed polymeric structures. However, expanding the build area traditionally compromises resolution, creating a fundamental trade-off between projected pixel size and printable area due to fixed digital micromirror device (DMD) pixel counts. Herein, we introduce segmented projection image translation (SPIN), a simple implementation strategy that expands the effective projection area by applying controlled orbital translation to an off-axis objective lens within the optical infinity space. In this work, we demonstrate a projection-based VP printer implemented with SPIN that expands the effective build area by 4.8-fold, from a native field of 60.4 square millimeters to an expanded domain of 290.5 square millimeters. The SPIN-enabled printer produces isolated line features as thin as 9.8 ± 2.2 micrometers and fabricates intricate three-dimensional truss structures with features as small as 30 micrometers. These results validate a practical route for extending microscale projection-based VP printing to larger build areas while preserving feature fidelity across stitched exposure fields.
Authors
- John R. Tumbleston
- Ian A. Coates (ORCID: https://orcid.org/0000-0002-8853-1505)
- Jason M. Kronenfeld (ORCID: https://orcid.org/0000-0002-3026-2736)
- Max A. Saccone (ORCID: https://orcid.org/0000-0003-3846-2908)
- Jize Dai (ORCID: https://orcid.org/0000-0002-0880-7058)
- Philip R. Onffroy (ORCID: https://orcid.org/0000-0003-1537-5174)
- Dan Ilyn
- Joseph M. DeSimone (ORCID: https://orcid.org/0000-0001-9521-5095)
- Maria T. Dulay (ORCID: https://orcid.org/0000-0002-4678-3480)
- Jacob Dobson
- Michelle T. Chen (ORCID: https://orcid.org/0009-0001-5044-6823)
- Christopher Linhardt
- Colin Crown
Institutions
- University of Colorado Boulder (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Science Advances
- Published
- 2026-11-11
- DOI
- https://doi.org/10.1126/sciadv.aef7779
- Primary Topic
- Additive Manufacturing and 3D Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00