Painting bio: A vector-based method for precise G-code generation across scales in biofabrication

This study introduces a standardized approach to generating and assembling G-code for biofabrication, ensuring compatibility and convergence across diverse machines and scales. Using vector-based drawing software, such as Adobe Illustrator, shapes are designed as paths and converted into modular G-code blocks (subroutines). This vector-based approach allows for the straightforward design of complex structures, such as organic shapes, by simply drawing them to scale, avoiding the need for labour-intensive construction. These blocks are assembled into a final script with a modified version of Notepad++ that enhances code segmentation and provides real-time visualization. Unlike many commercial slicers, this method offers precise control over the print path—a critical advantage in biofabrication, where anisotropic structures are essential for directed cell growth and orientation-specific mechanical properties needed in biomimetic tissue design. The method’s versatility is demonstrated across techniques from micro-scale applications, such as melt electrowriting, to macro-scale approaches like bioprinting, freeform printing and in-gel printing. This process streamlines code generation, allowing both simple and complex shapes to be efficiently produced. Although paths are drawn in 2D, stacking layers enables 3D constructs. The method’s standardized, relative G-code format—compatible with most devices—supports easy transfer across machines with clearly marked, machine-specific segments, creating a unified and adaptable codebase for a range of fabrication scales and techniques.

Authors

Publication Details

Journal
International Journal of Bioprinting
Published
2024-12-12
DOI
https://doi.org/10.36922/ijb.6239
Citations
3
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.55

Funders

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article

Painting bio: A vector-based method for precise G-code generation across scales in biofabrication

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3 citations
International Journal of Bioprinting
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article

Painting bio: A vector-based method for precise G-code generation across scales in biofabrication

Gregor Lang, Jürgen Gröll, Zan Lamberger, Sarah Barbara Zwingelberg, Fabian Heck, Taufiq Ahmad, Camilla Mussoni, Nathaly Chicaiza Cabezas, Sven Heilig
article en
3 citations

Abstract

This study introduces a standardized approach to generating and assembling G-code for biofabrication, ensuring compatibility and convergence across diverse machines and scales. Using vector-based drawing software, such as Adobe Illustrator, shapes are designed as paths and converted into modular G-code blocks (subroutines). This vector-based approach allows for the straightforward design of complex structures, such as organic shapes, by simply drawing them to scale, avoiding the need for labour-intensive construction. These blocks are assembled into a final script with a modified version of Notepad++ that enhances code segmentation and provides real-time visualization. Unlike many commercial slicers, this method offers precise control over the print path—a critical advantage in biofabrication, where anisotropic structures are essential for directed cell growth and orientation-specific mechanical properties needed in biomimetic tissue design. The method’s versatility is demonstrated across techniques from micro-scale applications, such as melt electrowriting, to macro-scale approaches like bioprinting, freeform printing and in-gel printing. This process streamlines code generation, allowing both simple and complex shapes to be efficiently produced. Although paths are drawn in 2D, stacking layers enables 3D constructs. The method’s standardized, relative G-code format—compatible with most devices—supports easy transfer across machines with clearly marked, machine-specific segments, creating a unified and adaptable codebase for a range of fabrication scales and techniques.

International Journal of BioprintingVol. 0(0)
Deutsche Forschungsgemeinschaft, Julius-Maximilians-Universität Würzburg
Decent work and economic growth
Openalex Percentile: Top 36%
3D Printing in Biomedical Research
0.55
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