Using deep learning to automatically generate design starting points for free-form imaging optical systems: retraction.

The referenced article [Appl. Opt.61, 6241 (2022)APOPAI0003-693510.1364/AO.460977] has been retracted by the authors.

Using deep learning to automatically generate design starting points for free-form imaging optical systems.

In this paper, we propose a method to automatically generate design starting points for free-form three-mirror imaging systems with different folding configurations using deep neural networks. For a given range of system parameters, a large number of datasets are automatically generated using the double seed extended curve algorithm and coded optimization. Deep neural networks are then trained using a supervised learning approach and can be used to generate good design starting points directly. The feasibility of the method is verified by designing a free-form three-mirror system with three different folding configurations. This method can significantly reduce the design time and effort for free-form imaging systems, and can be extended to complex optical systems with more optical surfaces.