Evidence map›Paper›PMID 37824106›Full record

ArticleACS biomaterials science & engineering2023

Automatic Photo-Cross-Linking System for Robotic-Based In Situ Bioprinting.

Gabriele Maria Fortunato, Elisa Batoni, Ilenia Pasqua, Matteo Nicoletta, Giovanni Vozzi, Carmelo De Maria

Open access · hybridAbstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2023. 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
1.3field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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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

6 authors at 1 institution in 1 country.

Gabriele Maria FortunatoDepartment of Information Engineering and Research Centre "E. Piaggio", University of Pisa, 56122 Pisa, Italy.ORCID 0000-0002-0260-4014
Elisa BatoniDepartment of Information Engineering and Research Centre "E. Piaggio", University of Pisa, 56122 Pisa, Italy.
Ilenia PasquaDepartment of Information Engineering and Research Centre "E. Piaggio", University of Pisa, 56122 Pisa, Italy.
Matteo NicolettaDepartment of Information Engineering and Research Centre "E. Piaggio", University of Pisa, 56122 Pisa, Italy.
Giovanni VozziDepartment of Information Engineering and Research Centre "E. Piaggio", University of Pisa, 56122 Pisa, Italy.
Carmelo De MariaDepartment of Information Engineering and Research Centre "E. Piaggio", University of Pisa, 56122 Pisa, Italy.ORCID 0000-0002-1368-3571
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work reports the design and validation of an innovative automatic photo-cross-linking device for robotic-based in situ bioprinting. Photo-cross-linking is the most promising polymerization technique when considering biomaterial deposition directly inside a physiological environment, typical of the in situ bioprinting approach. The photo-cross-linking device was designed for the IMAGObot platform, a 5-degree-of-freedom robot re-engineered for in situ bioprinting applications. The system consists of a syringe pump extrusion module equipped with eight light-emitting diodes (LEDs) with a 405 nm wavelength. The hardware and software of the robot were purposely designed to manage the LEDs switching on and off during printing. To minimize the light exposure of the needle, thus avoiding its clogging, only the LEDs opposite the printing direction are switched on to irradiate the newly deposited filament. Moreover, the LED system can be adjusted in height to modulate substrate exposure. Different scaffolds were bioprinted using a GelMA-based hydrogel, varying the printing speed and light distance from the bed, and were characterized in terms of swelling and mechanical properties, proving the robustness of the photo-cross-linking system in various configurations. The system was finally validated onto anthropomorphic phantoms (i.e., a human humerus head and a human hand with defects) featuring complex nonplanar surfaces. The designed system was successfully used to fill these anatomical defects, thus resulting in a promising solution for in situ bioprinting applications.

Indexed as

BioprintingRoboticsRobotic Surgical ProceduresGelatinHumansPrinting, Three-DimensionalTissue EngineeringTissue ScaffoldsGelatinautomatic devicegelatin methacryloylphoto-cross-linkingrobotic-based in situ bioprinting

Identifiers

PMID37824106
PMCPMC10716819
OpenAlexW4387563396

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.