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February 2, 2026Laser & Photonics Review0 citationsOpen Access

Super Depth‐of‐Field Snapshot Light‐Field Microscopy

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ZHZhi‐Yong HuCQChang QiaoJDJian‐Yu Dou

Key Points

  • The research aims to enhance the depth of field and resolution in snapshot light-field microscopy for tracking microscopic dynamics.
  • Proposed a curved microlens array with a logarithmic profile
  • Integrated the design into a commercial microscope
  • Utilized neural network-based image reconstruction
  • Achieved over 15 times improvement in depth of field (>3 mm)
  • Enhanced parallax by 273%
  • Realized near-diffraction-limited resolution
  • Enabled in situ stereo imaging of micro-pyramids and tracking of micro-particles in flow fields

Abstract

ABSTRACT Snapshot light‐field microscopes (SLFMs) enable high‐speed 3D observation (4D imaging) of dynamic micro‐targets. However, their performance is fundamentally restricted by the inherent planar structure of microlens arrays (MLAs), which leads to tradeoffs among resolution, depth of field (DOF), and depth perception, making large DOF light‐field detection extremely challenging. Here, we propose a paradigm in curved MLA with a logarithmic profile, featuring extreme depth of focus (>346λ), enhanced parallax (273%), and near‐diffraction‐limited resolution, outperforming conventional planar counterparts. Integrated into a commercial microscope and combined with neural network‐based reconstruction, this architecture yields a super depth‐of‐field snapshot light‐field microscope (SDOF‐SLFM), achieving over 15 times improvement in DOF (>3 mm) and enabling in situ stereo imaging of micro‐pyramids and 4D tracking of micro‐particles in flow fields. This study offers a practical pathway for upgrading SLFMs without complex system assembly or sample processing, facilitating the adaptation of conventional commercial microscopes to dynamic 4D imaging applications such as biological laboratories and microfluidic flow monitoring.

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Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/6980fecbc1c9540dea81126fhttps://doi.org/10.1002/lpor.202502750
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