Microscope objective lens design generation with reinforcement learning

Ai Ping Yow; Yueqian Zhang; Christoph Menke; Ralf Wolleschensky; Damon Wong; Peter Török

doi:10.1117/12.3011969

18 June 2024 Microscope objective lens design generation with reinforcement learning

Ai Ping Yow, Yueqian Zhang, Christoph Menke, Ralf Wolleschensky, Damon Wong, Peter Török

Proceedings Volume 13019, Optical Design and Engineering IX; 130191H (2024) https://doi.org/10.1117/12.3011969
Event: SPIE Optical Systems Design, 2024, Strasbourg, France

Abstract

In this study, we have used the policy-gradient based reinforcement learning approach to generate initial design for microscope objective lenses. The lens parameters within the defined ranges can be determined by the model based on the given specifications. The results obtained from our analysis suggest that the reinforcement learning model can generate appropriate starting points which expedite the convergence of the optimisation process.

Conference Presentation

Citation Download Citation

Ai Ping Yow, Yueqian Zhang, Christoph Menke, Ralf Wolleschensky, Damon Wong, and Peter Török "Microscope objective lens design generation with reinforcement learning", Proc. SPIE 13019, Optical Design and Engineering IX, 130191H (18 June 2024); https://doi.org/10.1117/12.3011969

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