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Updated: Mar 6, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

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通过基于深度学习的光场显微镜和富里埃光场显微镜图像的融合改进了3D图像的重建

Er Ouyang1, Liang Liang1, Xuhui Zhou1

  • 1Shenzhen University, Institute of Microscale Optoelectronics and Shenzhen Key Laboratory of Microscale Optical Information Technology, Nanophotonics Research Center, Shenzhen, China.

Journal of biomedical optics
|March 5, 2026
PubMed
概括

本研究介绍了一种结合光场显微镜 (LFM) 和富里埃LFM (FLFM) 的深度学习方法,以增强3D图像重建. 这种新的方法显著提高了生物成像应用的空间分辨率和细节保存.

关键词:
3D重建的重建是3D重建.里埃光场显微镜 里埃光场显微镜深度学习是一种深度学习.这是一个层次级的级联级联.图像融合 图像融合 图像融合光场显微镜光场显微镜

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