Evidence map›Paper›PMID 30050979›Full record

Article3D printing in medicine2017

Fabrication approaches for the creation of physical models from microscopy data.

Benjamin L Cox, Nathan Schumacher, John Konieczny, Issac Reifschneider, Thomas R Mackie, Marisa S Otegui, Kevin W Eliceiri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in 3D printing in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Benjamin L Cox1Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA.
Nathan Schumacher2Medical Engineering Group, Morgridge Institute for Research, 330 N Orchard St, Madison, WI 53715 USA.
John Konieczny3Laboratory for Optical and Computational Instrumentation, University of Wisconsin - Madison, 1675 Observatory Drive, Madison, WI 53706 USA.
Issac Reifschneider3Laboratory for Optical and Computational Instrumentation, University of Wisconsin - Madison, 1675 Observatory Drive, Madison, WI 53706 USA.
Thomas R Mackie1Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA.
Marisa S Otegui3Laboratory for Optical and Computational Instrumentation, University of Wisconsin - Madison, 1675 Observatory Drive, Madison, WI 53706 USA.
Kevin W Eliceiri1Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional (3D) printing has become a useful method of fabrication for many clinical applications. It is also a technique that is becoming increasingly accessible, as the price of the necessary tools and supplies decline. One emerging, and unreported, application for 3D printing is to aid in the visualization of 3D imaging data by creating physical models of select structures of interest.

methodsPresented here are three physical models that were fabricated from three different 3D microscopy datasets. Different methods of fabrication and imaging techniques were used in each case.

resultsEach model is presented in detail. This includes the imaging modality used to capture the raw data, the software used to create any computer models and the 3D printing tools used to create each model. Despite the differences in their creation, these examples follow a simple common workflow that is also detailed.

conclusionsFollowing these approaches, one can easily make 3D printed models from 3D microscopy datasets utilizing off the shelf commercially available software and hardware.

Indexed as

3D-imaging3D-printing3D-visualizationInstructional modelsMicroscopy

Identifiers

PMID30050979
PMCPMC6036764

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.