• Media type: E-Article; Text
  • Title: Dispensing pico to nanolitre of a natural hydrogel by laser-assisted bioprinting
  • Contributor: Gruene, Martin [Author]; Unger, Claudia [Author]; Koch, Lothar [Author]; Deiwick, Andrea [Author]; Chichkov, Boris [Author]
  • imprint: London : Biomed Central, 2011
  • Published in: BioMedical Engineering Online 10 (2011)
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/4590; https://doi.org/10.1186/1475-925X-10-19
  • ISSN: 1475-925X
  • Keywords: Drops ; Alginates ; alginic acid ; Hydrogel layers ; article ; Jet formation ; Cell model ; Laser pulses ; time ; Bubble collapsing theory ; Layer thickness ; Hexuronic Acids ; Laser-pulse energy ; Droplet volume ; Time resolved imaging ; hydrodynamics ; Cell matrix interactions ; Viscosity ; Process characteristics ; flow kinetics ; Animals ; Microchemistry ; Quantitative assessments ; Three dimensional ; [...]
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  • Description: Background: Laser-assisted bioprinting of multi-cellular replicates in accordance with CAD blueprint may substantially improve our understandings of fundamental aspects of 3 D cell-cell and cell-matrix interactions in vitro. For predictable printing results, a profound knowledge about effects of different processing parameters is essential for realisation of 3 D cell models with well-defined cell densities.Methods: Time-resolved imaging of the hydrogel jet dynamics and quantitative assessment of the dependence of printed droplet diameter on the process characteristics were conducted.Results: The existence of a counterjet was visualised, proving the bubble collapsing theory for the jet formation. Furthermore, by adjusting the viscosity and height of the applied hydrogel layer in combination with different laser pulse energies, the printing of volumes in the range of 10 to 7000 picolitres was demonstrated. Additionally, the relationship between the viscosity and the layer thickness at different laser pulse energies on the printed droplet volume was identified.Conclusions: These findings are essential for the advancement of laser-assisted bioprinting by enabling predictable printing results and the integration of computational methods in the generation of 3 D multi-cellular constructs.
  • Access State: Open Access