Evidence map›Paper›PMID 35357144›Full record

ReviewACS biomaterials science & engineering2022

Digital Light Processing Bioprinting Advances for Microtissue Models.

Hossein Goodarzi Hosseinabadi, Elvan Dogan, Amir K Miri, Leonid Ionov

Open access · greenAbstract readReview
In one paragraph

Review in ACS biomaterials science & engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 97 citations in OpenAlex.

  1. Review
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  4. A practical toolbox for modelling fibrosis in vitro.Nature biomedical engineering · 2026
    Review
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  8. In Situ Characterisation of Hydrogels via Dynamic Interface Printing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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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

4 authors at 3 institutions in 2 countries.

Hossein Goodarzi HosseinabadiFaculty of Engineering Sciences, Department of Biofabrication, University of Bayreuth, Ludwig-Thoma-Straße 36A, 95447 Bayreuth, Germany.
Elvan DoganDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.ORCID 0000-0003-1561-2547
Amir K MiriDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States.
Leonid IonovFaculty of Engineering Sciences and Bavarian Polymer Institute, Department of Biofabrication, University of Bayreuth, Ludwig-Thoma-Straße 36A, 95447 Bayreuth, Germany.ORCID 0000-0002-0770-6140
New Jersey Institute of Technology · USBavarian Polymer Institute · DEUniversity of Bayreuth · DE

Funding

Bioprintable composite materials and microfluidic tools for vocal fold restoration and repairR01DC018577 · NIDCD · MCGILL UNIVERSITY · PI MONGEAU, LUC · 2021 to 2025
$2.5M
Handheld 3D Bioprinting of Self-Healing Hydrogels for Vocal Fold ReconstructionR21DC018818 · NIDCD · ROWAN UNIVERSITY · PI MIRI RAMSHEH, AMIR KAMAL · 2020 to 2022
$454k
NIDCD NIH HHS R01 DC018577NIDCD NIH HHS R21 DC018818
6 · The paper itself

Abstract

Digital light processing (DLP) bioprinting has been widely introduced as a fast and robust biofabrication method in tissue engineering. The technique holds a great promise for creating tissue models because it can replicate the resolution and complexity of natural tissues and constructs. A DLP system projects 2D images onto layers of bioink using a digital photomask. The resolution of DLP bioprinting strongly depends on the characteristics of the projected light and the photo-cross-linking response of the bioink microenvironment. In this review, we present a summary of DLP fundamentals with a focus on bioink properties, photoinitiator selection, and light characteristics in resolution of bioprinted constructs. A simple guideline is provided for bioengineers interested in using DLP platforms and customizing technical specifications for its design. The literature review reveals the promising future of DLP bioprinting for disease modeling and biofabrication.

Indexed as

BioprintingPrinting, Three-DimensionalTissue EngineeringTissue Scaffoldsbioprinter designdigital light processingtissue engineeringvascularized models

Identifiers

PMID35357144
PMCPMC10700125
OpenAlexW4221024646

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.