Evidence map›Paper›PMID 40611786›Full record

ArticleAdvanced healthcare materials2025

Rapid Deep Vat Printing Using Photoclickable Collagen-Based Bioresins.

Michael Winkelbauer, Amelia Hasenauer, Dominic Rütsche, Hao Liu, Jakub Janiak, Michael Nguyen, Karen L Christman, Marcy Zenobi-Wong, Parth Chansoria

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Michael WinkelbauerDepartment of Health Sciences and Technology, ETH, Zürich, 8093, Switzerland.ORCID https://orcid.org/0009-0001-1035-7818
Amelia HasenauerDepartment of Health Sciences and Technology, ETH, Zürich, 8093, Switzerland.ORCID https://orcid.org/0000-0003-4512-6195
Dominic RütscheDepartment of Health Sciences and Technology, ETH, Zürich, 8093, Switzerland.ORCID https://orcid.org/0000-0001-6394-201X
Hao LiuDepartment of Health Sciences and Technology, ETH, Zürich, 8093, Switzerland.ORCID https://orcid.org/0000-0002-8301-6870
Jakub JaniakDepartment of Health Sciences and Technology, ETH, Zürich, 8093, Switzerland.ORCID https://orcid.org/0009-0000-7162-6252
Michael NguyenShu Chien-Gene Lay Department of Bioengineering, Sanford Stem Cell Institute, Sanford Consortium for Regenerative Medicine, University of California San Diego, La Jolla, CA, 92093, USA.ORCID https://orcid.org/0000-0003-1847-4557
Karen L ChristmanShu Chien-Gene Lay Department of Bioengineering, Sanford Stem Cell Institute, Sanford Consortium for Regenerative Medicine, University of California San Diego, La Jolla, CA, 92093, USA.
Marcy Zenobi-WongDepartment of Health Sciences and Technology, ETH, Zürich, 8093, Switzerland.ORCID https://orcid.org/0000-0002-8522-9909
Parth ChansoriaDepartment of Health Sciences and Technology, ETH, Zürich, 8093, Switzerland.ORCID https://orcid.org/0000-0002-6107-6848

Funding

Swiss National Science Foundation CRSK-2_220980Swiss National Science Foundation P500PM_214204Swiss National Science Foundation PZ00P2_216356
6 · The paper itself

Abstract

Deep vat printing (DVP) techniques, including tomographic and filamented light (Flight) printing have transformed the tissue engineering landscape by enabling layer-free bioprinting at high resolution and speeds. Importantly, collagen is one of the most widely used materials in tissue biofabrication, but DVP using collagen-based photoresins has been under-explored. In this work, photoclickable collagen-based resins are demonstrated which are compatible with DVP, enabling prints with up to 50 µm print resolution and speeds less than 20 s per cm

Indexed as

BioprintingCollagenPrinting, Three-DimensionalTissue EngineeringAnimalsHumansTissue ScaffoldsCollagencollagenFLight printingphotoclickthiol‐enetissue interfacetomographic printing

Identifiers

PMID40611786
PMCPMC12581886

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.