Evidence map›Paper›PMID 31167099›Full record

ReviewAnnual review of biomedical engineering2019

Digital Manufacturing for Microfluidics.

Arman Naderi, Nirveek Bhattacharjee, Albert Folch

Open access · greenAbstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
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

32 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. Review
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  6. Review
  7. Article
  8. Article
  9. Biomicrofluidics · 2024
    Article
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  12. Article
  13. Review
  14. Review
  15. Article
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  17. Review
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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

3 authors at 1 institution in 1 country.

Arman NaderiDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, USA; email: naderia@uw.edu.
Nirveek BhattacharjeeDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, USA; email: naderia@uw.edu.
Albert FolchDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, USA; email: naderia@uw.edu.
University of Washington · US

Funding

Microfluidic Device to Profile Chemosensitivity in Glioma Slice CulturesR01CA181445 · NCI · UNIVERSITY OF WASHINGTON · PI FOLCH, ALBERT · 2014 to 2025
$5.3M
NCI NIH HHS R01 CA181445
6 · The paper itself

Abstract

The microfluidics field is at a critical crossroads. The vast majority of microfluidic devices are presently manufactured using micromolding processes that work very well for a reduced set of biocompatible materials, but the time, cost, and design constraints of micromolding hinder the commercialization of many devices. As a result, the dissemination of microfluidic technology-and its impact on society-is in jeopardy. Digital manufacturing (DM) refers to a family of computer-centered processes that integrate digital three-dimensional (3D) designs, automated (additive or subtractive) fabrication, and device testing in order to increase fabrication efficiency. Importantly, DM enables the inexpensive realization of 3D designs that are impossible or very difficult to mold. The adoption of DM by microfluidic engineers has been slow, likely due to concerns over the resolution of the printers and the biocompatibility of the resins. In this article, we review and discuss the various printer types, resolution, biocompatibility issues, DM microfluidic designs, and the bright future ahead for this promising, fertile field.

Indexed as

Lab-On-A-Chip DevicesBiomedical EngineeringComputer-Aided DesignEquipment DesignPrinting, Three-Dimensional3D printingdigital manufacturingmicrofluidicsstereolithography

Identifiers

PMID31167099
PMCPMC7679200
OpenAlexW2952581681

What OpenQuestion holds

Textmetadata
LicenceTDM
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.