English(EN) DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy

DeepFilters 通过感知散射的光学器件增强显微镜景深

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-13 14:49

研究人员开发了 DeepFilters，一种用于显微镜的新型框架，通过工程化瞳孔滤波器并采用学习数字重建网络来增强景深。该系统设计为散射感知，使其即使在光散射会降低图像质量的生物组织中也能有效工作。DeepFilters 已证明其点扩散函数得到显著扩展，并能够在生物样本中恢复超过 120 微米的深度信号。 AI

影响引入了一种新的计算成像技术，可以改善生物样本分析。

排序理由该集群包含一篇详细介绍显微镜新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Lei Tian · 2026-05-13 14:49

DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy

Extended depth of field microscopy encodes axial information into a single acquisition through engineered point spread functions, but conventional and deep optics approaches are subject to degradation in scattering tissue. We introduce DeepFilters, a scattering-aware deep optics …

报道来源 [1]

DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy

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