Revolutionary Advances: Sensor Enables Machine Learning in Bioprinting
The Puredyne print heads deliver reproducible 3D printing of organic substances through precision-engineered, low-shear dispensing technology. The primary objective is to detect cell damage and ensure process reliability throughout the entire bioprinting process. To address this, Puredyne is launching an innovative in-process control system featuring an advanced pressure sensor.
With this cutting-edge measurement technology, users gain full real-time monitoring and control capabilities throughout the entire bioprinting process. In the near future, this system will enable the prediction of cell damage during extrusion, providing unprecedented insights into material integrity.
Puredyne’s new sensor lays the foundation for integrating machine learning algorithms and drives continuous improvement in printing performance.
Users can leverage this technology to develop robust biomaterial databases, which can be crucial for optimizing future bioprinting applications. Another critical advantage: early detection of needle blockages, also known as nozzle clogging, allowing for proactive corrective measures.
While traditional bioprinting process control relied primarily on optical monitoring, the Puredyne pressure sensor provides a comprehensive data-driven approach to safeguard processes and elevate print quality. The sensor measures pressures between 0 and 10 bar relative pressure with an accuracy of ±2% within a temperature range of 32 to 122 °F.
Designed with flexibility in mind, the modular sensor can integrate with any extrusion technology, including pneumatic systems. The cartridge or dosing needle connects via Luer-Lock, while the data is transmitted via analog signals to compatible hardware systems for further analysis and integration. This breakthrough in measurement technology further extends the Puredyne platform, marking a significant milestone in the automation and quality optimization of bioprinting processes.
