ML augmented Analysis of Biomaterial Concentration in Bioprinting via Ultrasound Signal

This study introduces a novel, non-invasive method for real-time monitoring of alginate and gelatin concentrations during bioprinting. This research utilizes ultrasound signals, collected non-invasively with a single-element transducer, to capture concentration-related information without any preprocessing. These signals are then analyzed using CNN based models, Hybrid CNN-LSTM, TCN, vision based ResNET18, and DeepconvLSTM to accurately and reliably determine the concentrations of both gelatin and alginate.