Nydus One Syringe Extruder (NOSE): A Prusa i3 3D printer conversion for bioprinting applications utilizing the FRESH-method

被引:45
作者
Bessler, Nils [1 ]
Ogiermann, Dennis [1 ]
Buchholz, Maj-Britt [2 ]
Santel, Alexander [1 ]
Heidenreich, Jan [1 ]
Ahmmed, Rawas [1 ]
Zaehres, Holm [1 ]
Brand-Saberi, Beate [1 ]
机构
[1] Ruhr Univ Bochum, Dept Anat & Mol Embryol, Univ Str 150, D-44801 Bochum, Germany
[2] Univ Med Ctr Utrecht, Dept Orthopaed, Uppsalalaan 8, NL-3584 CT Utrecht, Netherlands
来源
HARDWAREX | 2019年 / 6卷
关键词
Open Source Bioprinter; RepRap Modificiation; Mechanical Syringe Extruder; Bioprinting Protocol; Bioprinting Software;
D O I
10.1016/j.ohx.2019.e00069
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Bioprinting, combined with other tissue engineering techniques, is a promising method to create engineered tissues or standardized 3D cell culturing models. It has potential applications in the development of animal free models for drug toxicity screenings or for personalized medicine approaches. Here we report the conversion of the worldwide used open source 3D printer (RepRap, Prusa i3) to a functional and affordable bioprinter by substituting the common plastic-extruder with the Nydus One Syringe Extruder (NOSE). The NOSE modification enables mechanical hydrogel extrusion as well as a tunable deposition precision and volume by featuring a modular syringe-holder concept. A cost effective and simple hardware design including a custom software (termed 'composer') was developed to prove that this technique can be made accessible for a broader public. Furthermore, the printing procedure was optimized for the peer-reviewed FRESH-method by Hinton et al. which allows to print geometrical complex cell-laden constructs. We provide a detailed protocol on the creation of the FRESH-gel to ensure the reproducibility of this state of the art method. As a proof of concept HEK293 cells as well as mouse embryonic stem cells (mESC) were utilized for cell-laden printing. Depending on the cellular source the survival rates range from 60% up to 95%. Automatized quantitative viability analysis was performed using the open source image analysis tool Icy, in particular the "spot detector" plugin. A detailed protocol allows the recreation of the assay. Further data utilizing a support bath printing technique reveal limitations regarding the printing and residential time of cell-laden constructs. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
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页数:19
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