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arXiv · 2608.20277

Point Spread Function Engineering Using Implicit Neural Representations

Suet Ying Chan·Mitchell Gilmore·Qilin Deng·Guorong Hu·Joseph Greene·Ruipeng Guo·Lei Tian
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Abstract

Point spread function (PSF) engineering through pupil plane modulation is a technique used in microscopy to achieve specific imaging properties, such as depth encoding or extended depth of field. Existing PSF design methods often rely on extensive domain knowledge and task-specific basis functions, making it difficult to generalize across different applications. We treat the PSF engineering task as a phase retrieval problem and propose a neural field pupil design method that optimizes a phase profile for any arbitrary, user-defined 3D PSF distribution. This provides a flexible framework for 3D PSF engineering for various applications with implicit regularization that proves robust to initialization compared to pixel-wise optimization methods

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Suet Ying Chan, Mitchell Gilmore, Qilin Deng, Guorong Hu, Joseph Greene, Ruipeng Guo, Lei Tian. 2026-08-20. Point Spread Function Engineering Using Implicit Neural Representations. https://arxiv.org/abs/2608.20277

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