Holographic tomographic volumetric additive manufacturing
Maria Isabel Álvarez-Castaño (),
Andreas Gejl Madsen,
Jorge Madrid-Wolff,
Viola Sgarminato,
Antoine Boniface,
Jesper Glückstad and
Christophe Moser ()
Additional contact information
Maria Isabel Álvarez-Castaño: Ecole Polytechnique Fédérale de Lausanne
Andreas Gejl Madsen: University of Southern Denmark
Jorge Madrid-Wolff: Ecole Polytechnique Fédérale de Lausanne
Viola Sgarminato: Ecole Polytechnique Fédérale de Lausanne
Antoine Boniface: Ecole Polytechnique Fédérale de Lausanne
Jesper Glückstad: University of Southern Denmark
Christophe Moser: Ecole Polytechnique Fédérale de Lausanne
Nature Communications, 2025, vol. 16, issue 1, 1-15
Abstract:
Abstract Several 3D light-based printing technologies have been developed that rely on the photopolymerization of liquid resins. A recent method, so-called Tomographic Volumetric Additive Manufacturing, allows the fabrication of microscale objects within tens of seconds without the need for support structures. This method works by projecting intensity patterns, computed via a reverse tomography algorithm, into a photocurable resin from different angles to produce a desired 3D shape when the resin reaches the polymerization threshold. Printing using incoherent light patterning has been previously demonstrated. In this work, we show that a light engine with holographic phase modulation unlocks new potential for volumetric printing. The light projection efficiency is improved by at least a factor 20 over amplitude coding with diffraction-limited resolution and its flexibility allows precise light control across the entire printing volume. We show that computer-generated holograms implemented with tiled holograms and point-spread-function shaping mitigates the speckle noise which enables the fabrication of millimetric 3D objects exhibiting negative features of 31 μm in less than a minute with a 40 mW light source in acrylates and scattering materials, such as soft cell-laden hydrogels, with a concentration of 0.5 million cells per mL.
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-025-56852-4 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56852-4
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-025-56852-4
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().