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相关实验视频

Updated: May 14, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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Published on: October 27, 2023

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距离步行错误纠正MPPC基于数组的高精度3D成像.

Rui Wang, Linhai Huang, Yuanmeng Ban

    Optics express
    |April 12, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种有效的方法来纠正多像素光子计数器 (MPPC) 阵列3D成像中的距离步行错误. 该技术显著提高了对有不同反射率的目标的深度准确性,提高了遥感能力.

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    相关实验视频

    Last Updated: May 14, 2025

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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    Published on: October 27, 2023

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    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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    科学领域:

    • 光子学和光学传感器
    • 遥感技术 遥感技术
    • 先进的成像系统先进的成像系统

    背景情况:

    • 多像素光子计数器 (MPPC) 阵列技术为3D遥感提供了潜力.
    • 由目标反射率变化引起的距离行走误差 (RWE) 限制了MPPC阵列成像性能.

    研究的目的:

    • 开发和验证MPPC基于数组的3D成像的高效RWE校正方法.
    • 为了提高MPPC阵列的准确性和稳定性,在复杂的环境中使用波动的回声能量.

    主要方法:

    • 提出了一种结合值电压调制和宏像素线性回归的RWE校正方法.
    • 使用四种不同值电压的单图像进行初始校正.
    • 集成的多技术,以进一步提高深度准确度.

    主要成果:

    • 使用单图像,平面目标的深度差距从76.51厘米减少到1.17厘米 (98.47%的减少).
    • 通过多技术实现了低于0.69厘米的深度差异.
    • 证明了对非平面目标的优异校正性能,显著提高了3D成像准确度.

    结论:

    • 拟议的RWE校正方法有效地提高了MPPC阵列3D成像准确性.
    • 该方法在波动的回声能量条件下提高了MPPC阵列的稳定性.
    • 在复杂的遥感环境中为远程检测提供关键的技术支持.