Evidence map›Paper›PMID 33586366›Full record

ArticleAdvanced healthcare materials2021

Fast Stereolithography Printing of Large-Scale Biocompatible Hydrogel Models.

Nanditha Anandakrishnan, Hang Ye, Zipeng Guo, Zhaowei Chen, Kyle I Mentkowski, Jennifer K Lang, Nika Rajabian, Stelios T Andreadis, Zhen Ma, Joseph A Spernyak and 5 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
  2. In Situ Characterisation of Hydrogels via Dynamic Interface Printing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  11. Lithography-based 3D printing of hydrogels.Nature reviews bioengineering · 2025
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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

15 authors.

Nanditha AnandakrishnanDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Hang YeDepartment of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Zipeng GuoDepartment of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Zhaowei ChenDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Kyle I MentkowskiDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Jennifer K LangDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Nika RajabianDepartment of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Stelios T AndreadisDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Zhen MaDepartment of Biomedical and Chemical Engineering, Syracuse Biomaterials Institute, Syracuse University, Syracuse, NY, 13244, USA.
Joseph A SpernyakDepartment of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA.
Jonathan F LovellDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Depeng WangDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Jun XiaDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Chi ZhouDepartment of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Ruogang ZhaoDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.ORCID 0000-0002-5351-0843

Funding

Cell-free vascular grafts: immunological response and vascular regenerationR01HL151196 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ANDREADIS, STELIOS THEOHARIS · 2020 to 2023
$2.4M
Restoring the regenerative capacity of the aged muscleR01AG068250 · NIA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ANDREADIS, STELIOS THEOHARIS · 2020 to 2024
$2.0M
Fibrotic microtissue chips for screening of anti-fibrotic therapiesR01EB019411 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ZHAO, RUOGANG · 2015 to 2018
$1.4M
High throughput genetic and functional screens for restoring stem cell potentialR01AG052387 · NIA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ANDREADIS, STELIOS THEOHARIS · 2017 to 2019
$1.2M
The Functional Role of Exosomes in Stem Cell Mediated Cardiac RepairIK2BX004097 · VA · VA WESTERN NEW YORK HEALTHCARE SYSTEM · PI LANG, JENNIFER K · 2019 to 2024
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BLRD VA IK2 BX004097NHLBI NIH HHS R01 HL151196NIA NIH HHS R01 AG052387NIA NIH HHS R01 AG068250NIBIB NIH HHS R01 EB019411NIBIB NIH HHS R01EB019411
6 · The paper itself

Abstract

Large size cell-laden hydrogel models hold great promise for tissue repair and organ transplantation, but their fabrication using 3D bioprinting is limited by the slow printing speed that can affect the part quality and the biological activity of the encapsulated cells. Here a fast hydrogel stereolithography printing (FLOAT) method is presented that allows the creation of a centimeter-sized, multiscale solid hydrogel model within minutes. Through precisely controlling the photopolymerization condition, low suction force-driven, high-velocity flow of the hydrogel prepolymer is established that supports the continuous replenishment of the prepolymer solution below the curing part and the nonstop part growth. The rapid printing of centimeter-sized hydrogel models using FLOAT is shown to significantly reduce the part deformation and cellular injury caused by the prolonged exposure to the environmental stresses in conventional 3D printing methods. Embedded vessel networks fabricated through multiscale printing allows media perfusion needed to maintain the high cellular viability and metabolic functions in the deep core of the large-sized models. The endothelialization of this vessel network allows the establishment of barrier functions. Together, these studies demonstrate a rapid 3D hydrogel printing method and represent a first step toward the fabrication of large-sized engineered tissue models.

Indexed as

BioprintingStereolithographyHydrogelsPrinting, Three-DimensionalTissue EngineeringTissue ScaffoldsHydrogels3D bioprintingcontinuous printingendothelializationhydrogelsstereolithography

Identifiers

PMID33586366
PMCPMC8212355

What OpenQuestion holds

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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.