Evidence map›Paper›PMID 37274000›Full record

ArticleInternational journal of bioprinting2023

Continuous and highly accurate multi-material extrusion-based bioprinting with optical coherence tomography imaging.

Jin Wang, Chen Xu, Shanshan Yang, Ling Wang, Mingen Xu

Open access · diamondAbstract read
In one paragraph

Article in International journal of bioprinting, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Extrusion bioprinting: meeting the promise of human tissue biofabrication?Progress in biomedical engineering (Bristol, England) · 2025
    Review
  3. Review
  4. 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

5 authors at 1 institution in 1 country.

Jin WangSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China.
Chen XuSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China.
Shanshan YangSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China.
Ling WangSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China.
Mingen XuSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China.
Hangzhou Dianzi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extrusion-based bioprinting is a widely used approach to construct artificial organs or tissues in the medical fields due to its easy operation and good ability to combine multimaterial. Nevertheless, the current technology is limited to some printing errors when combining multi-material printing, including mismatch between printing filaments of different materials and error deposited materials (e.g., under-extrusion and overextrusion). These errors will affect the function of the printed structure (e.g., mechanical and biological properties), and the traditional manual correction methods are inefficient in time and material, so an automatic procedure is needed to improve multimaterial printing accuracy and efficiency. However, to the best of our knowledge, very few automated procedure can achieve the registration between printing filaments of different materials. Herein, we utilized optical coherence tomography (OCT) to monitor printing process and presented a multi-material static model and a time-related control model in extrusion-based multi-material bioprinting. Specifically, the multi-material static model revealed the relationship between printed filament metrics (filament size and layer thickness) and printing parameters (printing speeds or pressures) with different materials, which enables the registration of printing filaments by rapid selection of printing parameters for the materials, while time-related control model could correct control parameters of nozzles to reduce the material deposition error at connection point between nozzles in a short time. According to the experimental results of singlelayer scaffold and multi-layer scaffold, material deposition error is eliminated, and the same layer thickness between different materials of the same layer is achieved, which proves the accuracy and practicability of these models. The proposed models could achieve improved precision of printed structure and printing efficiency.

Indexed as

Bioprinted scaffoldMulti-materialMulti-nozzleOptical coherence tomographyPrinting control

Identifiers

PMID37274000
PMCPMC10236348
OpenAlexW4324366838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.