Point spread function modeling and engineering in black-box lens systems

Area of Science:

• Computational Imaging
• Optical Engineering
• Wave Optics

Background:

• Point spread function (PSF) engineering is crucial for encoding object information in imaging systems.
• Existing methods rely on known imaging models, limiting applications with 'black box' systems like commercial lenses.

Purpose of the Study:

• To develop a general imaging model for arbitrary lens systems.
• To create a pipeline for automatic parameter determination of this model.
• To enable PSF engineering in systems with unknown attributes.

Main Methods:

• Wave-optics analysis of general lens systems.
• Derivation of a general imaging model using scaled Fourier transform.
• Development of an automatic parameter determination pipeline.

Main Results:

• High PSF modeling accuracy achieved when applied to a photographic lens.
• Demonstrated capability of "seeing what you design" in optical systems.
• Successful implementation of PSF engineering for optimal 3D localization.

Conclusions:

• The developed pipeline enables accurate wavefront shaping design in arbitrary imaging systems.
• This work significantly improves computational imaging capabilities.
• Facilitates advanced optical design for applications like precise 3D localization.