3D bioprinting on moving surfaces using computer vision

Abstract

3D bioprinting is a rapidly developing field with many potential applications in medicine, bioengineering, and, possibly, even other areas. However, one of the main challenges in bioprinting is maintaining accuracy and precision during the printing process, especially when printing on a moving surface. The moving surface terminology means a not properly fixed or unstable surface for printing. For example, a human body, healing harmed tissues directly in an ambulance on the way to the hospital or any other emergency. This paper proposes a novel method for 3D bioprinting on moving surfaces using computer vision and machine learning. The approach involves the use of video processing techniques to analyze the bioprinting process in real-time, enabling the identification of potential issues and the adjustment of the printing process to improve the quality of the printed tissue. This is an important step toward the development of scalable and reproducible bioprinting technologies for tissue engineering applications.