Evidence map›Paper›PMID 29854949›Full record

ArticleScience advances2018

Making data matter: Voxel printing for the digital fabrication of data across scales and domains.

Christoph Bader, Dominik Kolb, James C Weaver, Sunanda Sharma, Ahmed Hosny, João Costa, Neri Oxman

Abstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Article
  8. Article
  9. Article
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  13. Light-based vat-polymerization bioprinting.Nature reviews. Methods primers · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Emerging Technologies in Multi-Material Bioprinting.Advanced materials (Deerfield Beach, Fla.) · 2021
    Review
  19. Exploiting Generative Design for 3D Printing of Bacterial Biofilm Resistant Composite Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  20. 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

7 authors.

Christoph BaderThe Mediated Matter Group, Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Dominik KolbThe Mediated Matter Group, Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
James C WeaverWyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA.
Sunanda SharmaThe Mediated Matter Group, Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-8822-7960
Ahmed HosnyDana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0002-1844-481X
João CostaThe Mediated Matter Group, Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-9047-0924
Neri OxmanThe Mediated Matter Group, Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-9222-4447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a multimaterial voxel-printing method that enables the physical visualization of data sets commonly associated with scientific imaging. Leveraging voxel-based control of multimaterial three-dimensional (3D) printing, our method enables additive manufacturing of discontinuous data types such as point cloud data, curve and graph data, image-based data, and volumetric data. By converting data sets into dithered material deposition descriptions, through modifications to rasterization processes, we demonstrate that data sets frequently visualized on screen can be converted into physical, materially heterogeneous objects. Our approach alleviates the need to postprocess data sets to boundary representations, preventing alteration of data and loss of information in the produced physicalizations. Therefore, it bridges the gap between digital information representation and physical material composition. We evaluate the visual characteristics and features of our method, assess its relevance and applicability in the production of physical visualizations, and detail the conversion of data sets for multimaterial 3D printing. We conclude with exemplary 3D-printed data sets produced by our method pointing toward potential applications across scales, disciplines, and problem domains.

Identifiers

PMID29854949
PMCPMC5976266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.