Lenssuch

Lenssuch is a term used in optics and computational imaging to describe a systematic, automated search for lens configurations that satisfy predefined performance criteria. The word blends 'lens' with the German root suchen (to search) and is used to discuss design automation and optimization workflows in lens development.

In practice, lenssuch involves modeling a parametric lens system, including element radii, thicknesses, spacings, and glass types, and defining a merit function that quantifies image quality metrics such as modulation transfer function, aberration content, distortion, and field performance. An optimization loop explores the design space using algorithms such as gradient-based methods, evolutionary strategies, or Bayesian optimization, frequently coupled with ray-tracing simulations.

The workflow typically includes specifying manufacturing constraints and tolerances, evaluating performance across field angles and wavelengths, and selecting designs that offer robustness to fabrication variations. Validation may involve higher-fidelity optical analysis or experimental prototype testing.

Applications span consumer photography, smartphone and mirrorless camera lenses, microscopy, projection optics, and emerging display systems such as augmented reality, where compact, high-quality lenses are essential.

Status and usage: Lenssuch is not a formal standard but an informal concept used in some optics and computational-imaging discussions to describe automated design-search practices. As such, its exact methods and emphasis vary among projects, software tools, and organizations.