Cutting-edge Innovation

Based on Scientific Research

Developed from years of dedicated research in color science and 3D printing technology, PrismSlicer has an edge over existing slicers based on its use of innovative technologies and algorithms. With our company being a spin-off from Charles University, where many of our team have graduated from, we have access to a network of academic experts, a physics-grade optical laboratory and insights into the newest developments in science.

In short, PrismSlicer is

Computer Graphics

Our team has a strong background in Computer Graphics which is a part of Computer Science that tries to replicate reality in digital form. As a field traditionally catering to the Games and Movie industry, it is looking for efficient algorithms and high-performance software engineering to meet their high requirements. Colour Science and replicating material appearance phenomena is core to modeling and visualizing any imaginable scene from reality on your screen.

Scientific Achievements

Academic Publications
7
Years of Research
7+
Academic Citations
91
Expert Reviews
40+

Over the years, we have published 7 articles at top-tier conferences and journals, namely ACM SIGGRAPH, ACM Transactions on Graphics, Computer Graphics Forum and Optics Express. All of these papers have passed a rigorous peer-review process with three to five reviews from industry experts in the fields of Computer Graphics, Light Transport Simulation, Colour Science, Fabrication, Appearance Modeling or Optics. Our articles are Open-Access meaning they are free for anybody to read without paying the publisher a fee.

You can find more on the science behind PrismSlicer on our research group’s website. List of Publications

Years of dedicated research on the problem of color bleeding in volumetric materials (3D printing). We have developed various algorithms how to compensate for the scattering in materials and what to do about unwanted color mixing around thin geometric features such as corners or thin walls.

We have researched how to accelerate this technology and improve its precision with the help of modern machine-learning algorithms that are widely known as “Artificial Intelligence (AI)”.