Our CTO, Dr. Linas Jonušauskas, shares why AI is a game-changer for Vital3D Technologies, driving innovation and efficiency in everything we do. Read more below👇 #Bioprinting #3DPrinting #AI
Behind all the hype, at the end of the day, Artificial intelligence (AI) is a mere tool. Whether it is needed and what value it can bring heavily depends on the field and applications. And it seems that for Vital3D Technologies, AI can be the next big leap forward in enabling mass-customized 3D bioprinting. One of the main peculiarities regarding optical 3D bioprinting is the sheer amount of data and variables that need to be accounted for during the processing, from regular parameters, such as optimal slicing and hatching algorithm, to biological peculiarities and light modulation. Doing it all manually creates X-dimensional parameter space, where X is the number of parameters that must be accounted for. While we humans are gifted with the miracles of intuition and logical thinking, while tackling the challenge of such a massive scope, some highly non-trivial solutions can be missed. The capability of AI to synthesize all the possible combinations of X parameters and find the best possible combinations alleviates this challenge in enabling mass-customized 3D bioprinting. One of the best examples of such non-trivial optimization tasks is developing the FemtoBrush solution. Beam shaping is generally highly non-trivial, where only a small part of possible intensity distributions can be calculated deterministically. Iterative methods needed for others, such as the Gerchberg–Saxton algorithm, bring a lot of inherent uncertainty to the calculations of phase masks for 3D intensity distributions. Due to the colossal effort of the whole team, especially Karolina Limanovskaja, the current iteration of the brushes we use is quite consistent, with minimal irregularities in XYZ space (see measurement below). However, I want them to be perfect and on demand. Here, AI seems to be the best possible long-term option that should trivialize the whole brush generation process. I am looking forward to exploring this and many other possibilities that AI brings to the table. One way or another, 3D bioprinting is an exceptionally interdisciplinary research field. Thus, AI fits in perfectly with the challenges presented by optics, materials, and biology. Bellow – 3D intensity distribution of 25 µm brush measured using CCD camera and spherical lens on a dedicated Z-scan characterization setup. Horizontal intensity is well defined, while there are some irregularities in the Z direction. The goal for further research and AI – the complete elimination of any irregularities in the Z direction. #Bioprinting #AI #Photonics #3Dprinting #Laser #Teamwork