TY - JOUR
T1 - On the reproducibility of extrusion-based bioprinting
T2 - round robin study on standardization in the field
AU - Grijalva Garces, David
AU - Strauß, Svenja
AU - Gretzinger, Sarah
AU - Schmieg, Barbara
AU - Jüngst, Tomasz
AU - Groll, Jürgen
AU - Meinel, Lorenz
AU - Schmidt, Isabelle
AU - Hartmann, Hanna
AU - Schenke-Layland, Katja
AU - Brandt, Nico
AU - Selzer, Michael
AU - Zimmermann, Stefan
AU - Koltay, Peter
AU - Southan, Alexander
AU - Tovar, Günter E.M.
AU - Schmidt, Sarah
AU - Weber, Achim
AU - Ahlfeld, Tilman
AU - Gelinsky, Michael
AU - Scheibel, Thomas
AU - Detsch, Rainer
AU - Boccaccini, Aldo R.
AU - Naolou, Toufik
AU - Lee-Thedieck, Cornelia
AU - Willems, Christian
AU - Groth, Thomas
AU - Allgeier, Stephan
AU - Köhler, Bernd
AU - Friedrich, Tiaan
AU - Briesen, Heiko
AU - Buchholz, Janine
AU - Paulus, Dietrich
AU - von Gladiss, Anselm
AU - Hubbuch, Jürgen
N1 - Publisher Copyright:
© 2023 The Author(s). Published by IOP Publishing Ltd.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - The outcome of three-dimensional (3D) bioprinting heavily depends, amongst others, on the interaction between the developed bioink, the printing process, and the printing equipment. However, if this interplay is ensured, bioprinting promises unmatched possibilities in the health care area. To pave the way for comparing newly developed biomaterials, clinical studies, and medical applications (i.e. printed organs, patient-specific tissues), there is a great need for standardization of manufacturing methods in order to enable technology transfers. Despite the importance of such standardization, there is currently a tremendous lack of empirical data that examines the reproducibility and robustness of production in more than one location at a time. In this work, we present data derived from a round robin test for extrusion-based 3D printing performance comprising 12 different academic laboratories throughout Germany and analyze the respective prints using automated image analysis (IA) in three independent academic groups. The fabrication of objects from polymer solutions was standardized as much as currently possible to allow studying the comparability of results from different laboratories. This study has led to the conclusion that current standardization conditions still leave room for the intervention of operators due to missing automation of the equipment. This affects significantly the reproducibility and comparability of bioprinting experiments in multiple laboratories. Nevertheless, automated IA proved to be a suitable methodology for quality assurance as three independently developed workflows achieved similar results. Moreover, the extracted data describing geometric features showed how the function of printers affects the quality of the printed object. A significant step toward standardization of the process was made as an infrastructure for distribution of material and methods, as well as for data transfer and storage was successfully established.
AB - The outcome of three-dimensional (3D) bioprinting heavily depends, amongst others, on the interaction between the developed bioink, the printing process, and the printing equipment. However, if this interplay is ensured, bioprinting promises unmatched possibilities in the health care area. To pave the way for comparing newly developed biomaterials, clinical studies, and medical applications (i.e. printed organs, patient-specific tissues), there is a great need for standardization of manufacturing methods in order to enable technology transfers. Despite the importance of such standardization, there is currently a tremendous lack of empirical data that examines the reproducibility and robustness of production in more than one location at a time. In this work, we present data derived from a round robin test for extrusion-based 3D printing performance comprising 12 different academic laboratories throughout Germany and analyze the respective prints using automated image analysis (IA) in three independent academic groups. The fabrication of objects from polymer solutions was standardized as much as currently possible to allow studying the comparability of results from different laboratories. This study has led to the conclusion that current standardization conditions still leave room for the intervention of operators due to missing automation of the equipment. This affects significantly the reproducibility and comparability of bioprinting experiments in multiple laboratories. Nevertheless, automated IA proved to be a suitable methodology for quality assurance as three independently developed workflows achieved similar results. Moreover, the extracted data describing geometric features showed how the function of printers affects the quality of the printed object. A significant step toward standardization of the process was made as an infrastructure for distribution of material and methods, as well as for data transfer and storage was successfully established.
KW - 3D printing
KW - bioink
KW - extrusion-based bioprinting
KW - reproducibility
KW - round robin
KW - technology transfer
UR - http://www.scopus.com/inward/record.url?scp=85173621383&partnerID=8YFLogxK
U2 - 10.1088/1758-5090/acfe3b
DO - 10.1088/1758-5090/acfe3b
M3 - Article
C2 - 37769669
AN - SCOPUS:85173621383
SN - 1758-5082
VL - 16
JO - Biofabrication
JF - Biofabrication
IS - 1
M1 - 015002
ER -