Evidence map›Paper›PMID 37206114›Full record

ArticleBiomedical optics express2023

Dynamics of single cell femtosecond laser printing.

Jun Zhang, Christine Frank, Patrick Byers, Sasa Djordjevic, Denitsa Docheva, Hauke Clausen-Schaumann, Stefanie Sudhop, Heinz P Huber

Abstract read
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Jun ZhangLasercenter, Munich University of Applied Sciences, Lothstrasse 34, 80335 Munich, Germany.
Christine FrankLasercenter, Munich University of Applied Sciences, Lothstrasse 34, 80335 Munich, Germany.
Patrick ByersLasercenter, Munich University of Applied Sciences, Lothstrasse 34, 80335 Munich, Germany.
Sasa DjordjevicLasercenter, Munich University of Applied Sciences, Lothstrasse 34, 80335 Munich, Germany.
Denitsa DochevaDepartment of Musculoskeletal Tissue Regeneration, Orthopaedic Hospital König-Ludwig-Haus, University of Wuerzburg, 97076 Wuerzburg, Germany.
Hauke Clausen-SchaumannCenter for Applied Tissue Engineering and Regenerative Medicine CANTER, Munich University of Applied Sciences, Lothstrasse 34, 80335 Munich, Germany.
Stefanie SudhopCenter for Applied Tissue Engineering and Regenerative Medicine CANTER, Munich University of Applied Sciences, Lothstrasse 34, 80335 Munich, Germany.
Heinz P HuberLasercenter, Munich University of Applied Sciences, Lothstrasse 34, 80335 Munich, Germany.ORCID https://orcid.org/0000-0003-2444-9833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, we investigated the dynamics of a femtosecond (fs) laser induced bio-printing with cell-free and cell-laden jets under the variation of laser pulse energy and focus depth, by using time-resolved imaging. By increasing the laser pulse energy or decreasing the focus depth thresholds for a first and second jet are exceeded and more laser pulse energy is converted to kinetic jet energy. With increasing jet velocity, the jet behavior changes from a well-defined laminar jet, to a curved jet and further to an undesired splashing jet. We quantified the observed jet forms with the dimensionless hydrodynamic Weber and Rayleigh numbers and identified the Rayleigh breakup regime as the preferred process window for single cell bioprinting. Herein, the best spatial printing resolution of 42 ± 3 µm and single cell positioning precision of 12.4 µm are reached, which is less than one single cell diameter about 15 µm.

Identifiers

PMID37206114
PMCPMC10191647

What OpenQuestion holds

Textmetadata
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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.