Automated design of freeform imaging systems

The automated design of imaging systems involving no or minimal human effort has always been the expectation of scientists, researchers and optical engineers. In addition, it is challenging to choose an appropriate starting point for an optical system design. In this paper, we present a novel design framework based on a point-by-point design process that can automatically obtain high-performance freeform systems. This framework only requires a combination of planes as the input based on the configuration requirements or the prior knowledge of designers. This point-by-point design framework is different from the decades-long tradition of optimizing surface coefficients. Compared with the traditional design method, whereby the selection of the starting point and the optimization process are independent of each other and require extensive amount of human effort, there are no obvious differences between these two processes in our design framework, and the entire design process is mostly automated. This automated design process significantly reduces the amount of human effort required and does not rely on advanced design skills and experience. To demonstrate the feasibility of the proposed design framework, we successfully designed two high-performance systems as examples. This point-by-point design framework opens up new possibilities for automated optical design and can be used to develop automated optical design in the areas of remote sensing, telescopy, microscopy, spectroscopy, virtual reality and augmented reality. Freeform optics: automated design reduces human input An automated approach to designing imaging systems with freeform optics greatly reduces the need for human input in the design process. While computer software has removed much of the drudgery from optimizing optical systems, human expertise is still required to select suitable starting points, especially for off-axis configurations. Now, Tong Yang and co-workers at Tsinghua University, China, have designed a framework that uses a point-by-point iterative process to automatically construct the needed freeform surfaces, rather than designing them using extensive human effort. They demonstrate the technique's effectiveness by designing two infrared imaging systems — a freeform off-axis, three-mirror design and a freeform reflective system with a spherical package. The approach can aid the optical design of compact, high-performance optical systems for applications in microscopy, spectroscopy,