Evidence map›Paper›PMID 39221036›Full record

ReviewApplied physics reviews2024

Design considerations for digital light processing bioprinters.

Carlos Ezio Garciamendez-Mijares, Francisco Javier Aguilar, Pavel Hernandez, Xiao Kuang, Mauricio Gonzalez, Vanessa Ortiz, Ricardo A Riesgo, David S Rendon Ruiz, Victoria Abril Manjarrez Rivera, Juan Carlos Rodriguez and 6 more

Abstract readReview
In one paragraph

Review in Applied physics reviews, 2024. 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. Review
  2. Review
  3. Review
  4. AdvancingFrontiers in bioengineering and biotechnology · 2026
    Article
  5. Review
  6. Review
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

16 authors.

Carlos Ezio Garciamendez-MijaresDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0000-0003-2433-9773
Francisco Javier AguilarDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0002-9054-779X
Pavel HernandezDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0009-0400-6892
Xiao KuangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0000-0001-6596-1417
Mauricio GonzalezDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0000-2724-9381
Vanessa OrtizDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0000-0001-7751-2520
Ricardo A RiesgoDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0001-2309-6899
David S Rendon RuizDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0008-8313-312X
Victoria Abril Manjarrez RiveraDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0001-6409-5884
Juan Carlos RodriguezDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0005-6820-2869
Francisco Lugo MestreDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.
Penelope Ceron CastilloDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.
Abraham PerezDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0005-9974-7351
Lourdes Monserrat CruzDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0009-0009-8797-9875
Khoon S LimSchool of Medical Sciences, University of Sydney, Sydney 2006, Australia.ORCID https://orcid.org/0000-0002-2486-196X
Yu Shrike ZhangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.ORCID https://orcid.org/0000-0002-0045-0808

Funding

High-throughput Imaging-integrated Vascular Model for Understanding Thromboembolism and Therapeutics ScreeningR01HL166522 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Junjie Yao, Y. Shrike Zhang · 2023 to 2026
$2.7M
Biomaterials for embolization and ablation of arterio-venous malformationsR01HL165176 · NHLBI · MAYO CLINIC ARIZONA · PI OKLU, RAHMI, ZHANG, Y. SHRIKE · 2022 to 2025
$2.6M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
A Bioprinted Volumetric Model of Vascularized GlioblastomaR01CA282451 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Kaisorn Lee Chaichana, Y. Shrike Zhang · 2023 to 2026
$1.7M
Modeling Sex-Specific Cardiac Hypertrophy-on-a-ChipR21HL168656 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MAHARJAN, SUSHILA, ZHANG, Y. SHRIKE · 2024 to 2025
$492k
NCI NIH HHS R01 CA282451NHLBI NIH HHS R01 HL165176NHLBI NIH HHS R01 HL166522NHLBI NIH HHS R21 HL168656NIBIB NIH HHS R01 EB028143
6 · The paper itself

Abstract

With the rapid development and popularization of additive manufacturing, different technologies, including, but not limited to, extrusion-, droplet-, and vat-photopolymerization-based fabrication techniques, have emerged that have allowed tremendous progress in three-dimensional (3D) printing in the past decades. Bioprinting, typically using living cells and/or biomaterials conformed by different printing modalities, has produced functional tissues. As a subclass of vat-photopolymerization bioprinting, digital light processing (DLP) uses digitally controlled photomasks to selectively solidify liquid photocurable bioinks to construct complex physical objects in a layer-by-layer manner. DLP bioprinting presents unique advantages, including short printing times, relatively low manufacturing costs, and decently high resolutions, allowing users to achieve significant progress in the bioprinting of tissue-like complex structures. Nevertheless, the need to accommodate different materials while bioprinting and improve the printing performance has driven the rapid progress in DLP bioprinters, which requires multiple pieces of knowledge ranging from optics, electronics, software, and materials beyond the biological aspects. This raises the need for a comprehensive review to recapitulate the most important considerations in the design and assembly of DLP bioprinters. This review begins with analyzing unique considerations and specific examples in the hardware, including the resin vat, optical system, and electronics. In the software, the workflow is analyzed, including the parameters to be considered for the control of the bioprinter and the voxelizing/slicing algorithm. In addition, we briefly discuss the material requirements for DLP bioprinting. Then, we provide a section with best practices and maintenance of a do-it-yourself DLP bioprinter. Finally, we highlight the future outlooks of the DLP technology and their critical role in directing the future of bioprinting. The state-of-the-art progress in DLP bioprinter in this review will provide a set of knowledge for innovative DLP bioprinter designs.

Identifiers

PMID39221036
PMCPMC11284760

What OpenQuestion holds

Textmetadata
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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.