Evidence map›Paper›PMID 36061222›Full record

ArticleGEN biotechnology2022

Designing Cost-Effective Open-Source Multihead 3D Bioprinters.

David Chimene, Kaivalya A Deo, Jeremy Thomas, Landon Dahle, Cole Mandrona, Akhilesh K Gaharwar

Abstract read
In one paragraph

Article in GEN biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Dynamically crosslinked thermoresponsive granular hydrogels.Journal of biomedical materials research. Part A · 2023
    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

6 authors.

David ChimeneDepartment of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, Texas, USA.
Kaivalya A DeoDepartment of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, Texas, USA.ORCID https://orcid.org/0000-0002-2233-383X
Jeremy ThomasDepartment of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, Texas, USA.
Landon DahleDepartment of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, Texas, USA.
Cole MandronaDepartment of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, Texas, USA.
Akhilesh K GaharwarDepartment of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the past decade, additive manufacturing has resulted in significant advances toward fabricating anatomic-size patient-specific scaffolds for tissue models and regenerative medicine. This can be attributed to the development of advanced bioinks capable of precise deposition of cells and biomaterials. The combination of additive manufacturing with advanced bioinks is enabling researchers to fabricate intricate tissue scaffolds that recreate the complex spatial distributions of cells and bioactive cues found in the human body. However, the expansion of this promising technique has been hampered by the high cost of commercially available bioprinters and proprietary software. In contrast, conventional three-dimensional (3D) printing has become increasingly popular with home hobbyists and caused an explosion of both low-cost thermoplastic 3D printers and open-source software to control the printer. In this study, we bring these benefits into the field of bioprinting by converting widely available and cost-effective 3D printers into fully functional, open-source, and customizable multihead bioprinters. These bioprinters utilize computer controlled volumetric extrusion, allowing bioinks with a wide range of flow properties to be bioprinted, including non-Newtonian bioinks. We demonstrate the practicality of this approach by designing bioprinters customized with multiple extruders, automatic bed leveling, and temperature controls for ∼$400 USD. These bioprinters were then used for

Identifiers

PMID36061222
PMCPMC9426752

What OpenQuestion holds

Textmetadata
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.