Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches

• Main Authors: Huang,Xi, Ng, Wei Long, Yeong, Wai Yee
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Mechanical engineering; 3D Printing; Biofabrication
• Online Access: https://hdl.handle.net/10356/169343
• Institution: Nanyang Technological University

In this work, our proof-of-concept study can be used to predict the number of cells within printed droplets based on droplet velocity at two different points along the nozzle-substrate distance using machine learning approaches. A novel high-throughput contactless method that combines the use of an...