Evidence map›Paper›PMID 29596418›Full record

ArticlePloS one2018

Accessing microfluidics through feature-based design software for 3D printing.

Peter G Shankles, Larry J Millet, Jayde A Aufrecht, Scott T Retterer

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Augmented 3D Printing for Multiscale Microphysiological Systems.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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

4 authors.

Peter G ShanklesThe Bredesen Center for Interdisciplinary Research, The University of Tennessee, Knoxville, TN, United States of America.
Larry J MilletThe Bredesen Center for Interdisciplinary Research, The University of Tennessee, Knoxville, TN, United States of America.
Jayde A AufrechtThe Bredesen Center for Interdisciplinary Research, The University of Tennessee, Knoxville, TN, United States of America.
Scott T RettererThe Bredesen Center for Interdisciplinary Research, The University of Tennessee, Knoxville, TN, United States of America.ORCID 0000-0001-8534-1979

Funding

Culturing of the uncultured: reverse genomics and multispecies consortia in oralR01DE024463 · NIDCR · UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB · PI JOULINE, IGOR B., LEYS, EUGENE J · 2014 to 2018
$8.2M
NIDCR NIH HHS R01 DE024463NIH HHS 1R01DE024463-01
6 · The paper itself

Abstract

Additive manufacturing has been a cornerstone of the product development pipeline for decades, playing an essential role in the creation of both functional and cosmetic prototypes. In recent years, the prospects for distributed and open source manufacturing have grown tremendously. This growth has been enabled by an expanding library of printable materials, low-cost printers, and communities dedicated to platform development. The microfluidics community has embraced this opportunity to integrate 3D printing into the suite of manufacturing strategies used to create novel fluidic architectures. The rapid turnaround time and low cost to implement these strategies in the lab makes 3D printing an attractive alternative to conventional micro- and nanofabrication techniques. In this work, the production of multiple microfluidic architectures using a hybrid 3D printing-soft lithography approach is demonstrated and shown to enable rapid device fabrication with channel dimensions that take advantage of laminar flow characteristics. The fabrication process outlined here is underpinned by the implementation of custom design software with an integrated slicer program that replaces less intuitive computer aided design and slicer software tools. Devices are designed in the program by assembling parameterized microfluidic building blocks. The fabrication process and flow control within 3D printed devices were demonstrated with a gradient generator and two droplet generator designs. Precise control over the printing process allowed 3D microfluidics to be printed in a single step by extruding bridge structures to 'jump-over' channels in the same plane. This strategy was shown to integrate with conventional nanofabrication strategies to simplify the operation of a platform that incorporates both nanoscale features and 3D printed microfluidics.

Indexed as

Printing, Three-DimensionalSoftware DesignMicrofluidic Analytical Techniques

Identifiers

PMID29596418
PMCPMC5875762

What OpenQuestion holds

Textmetadata
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.