1D and 2D error assessment and correction for extrusion-based bioprinting using process sensing and control...

Area of Science:

• Bioprinting and Tissue Engineering
• Manufacturing and Process Control

Background:

• Current bioprinting lacks tools for process sensing, performance metrics, and error correction in material deposition.
• Inaccurate material deposition hinders the in vivo functionality of bioprinted constructs, limiting their ability to replicate native tissue structures.

Purpose of the Study:

• To develop and implement a process monitoring and control strategy for extrusion-based bioprinting.
• To address critical gaps in sensing, performance evaluation, and error correction for improved material deposition accuracy.

Main Methods:

• Utilized a non-contact laser displacement scanner to measure spatial material placement and width.
• Developed a custom image processing script integrating laser scanner data and defined error metrics.
• Implemented a feedback control loop to modify deposition parameters for error correction in real-time.

Main Results:

• Demonstrated a novel quantitative method for evaluating the accuracy of printed constructs.
• Successfully improved both material placement accuracy and material width control in an extrusion-printing system.
• Validated the effectiveness of the process monitoring and control strategy in enhancing bioprinting precision.

Conclusions:

• The developed strategy effectively addresses limitations in bioprinting process sensing, performance metrics, and control.
• This approach significantly enhances material deposition accuracy, paving the way for more functional bioprinted tissues.
• The findings represent a key advancement in quantitative evaluation and control for extrusion-based bioprinting systems.