Research Data for Paper: Fiber Deviation and Optimal Toolpath Strategies in Melt Electrowriting of Tubular Scaffolds

Name: Research Data for Paper: Fiber Deviation and Optimal Toolpath Strategies in Melt Electrowriting of Tubular Scaffolds
Creator: Benno Neuhaus
Published: 2025-03-28T16:22:16.642Z
Keywords: Microscopy, Vascular Graft, Scaffold for Tissue Engineering, 3D Bioprinting

Neuhaus, Benno; Loewner, Sebastian; Heymann, Henrik; Webering, Fritz; Synofzik, Judith; Blume, Holger; Blume, Cornelia

doi:10.17632/7y7vshk665.1

Research Data for Paper: Fiber Deviation and Optimal Toolpath Strategies in Melt Electrowriting of Tubular Scaffolds

Published: 28 March 2025| Version 1 | DOI: 10.17632/7y7vshk665.1

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This dataset contains stitched microscope image data of tubular scaffolds printed using melt-electrowriting (MEW). The images were used in the paper "Fiber Deviation and Optimal Toolpath Strategies in Melt Electrowriting of Tubular Scaffolds" by Neuhaus et al. to determine the deviation of the printed fiber from the programmed toolpath. Additionally, the G-code programs and the CNC encoder data from the printing process are included for reference.

Research Data for Paper: Fiber Deviation and Optimal Toolpath Strategies in Melt Electrowriting of Tubular Scaffolds

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