A deep learning approach for error detection and quantification in extrusion-based bioprinting

Quality control in extrusion-based bioprinting (EBB) represents a crucial step to: i) reduce the trial-and-error process and associated material consumption, ii) achieve standard results across different set-ups and laboratories to comply with relevant health standards, and iii) so accelerate the tr...

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Bibliographic Details

Published in:	Materials today : proceedings Vol. 70; pp. 131 - 135
Main Authors:	Bonatti, Amedeo Franco, Vozzi, Giovanni, Kai Chua, Chee, De Maria, Carmelo
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 2022
Subjects:	Convolutional LSTM autoencoder Deep learning Extrusion-based bioprinting Quality control Deep learning Convolutional LSTM autoencoder Extrusion-based bioprinting Quality control
ISSN:	2214-7853, 2214-7853
Online Access:	Get full text
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