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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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具有高时空分辨率的宽带高光谱图像传感器

Liheng Bian1, Zhen Wang2, Yuzhe Zhang2

  • 1State Key Laboratory of CNS/ATM & MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China. bian@bit.edu.cn.

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概括

我们开发了一种紧的芯片上超光谱成像传感器, 这项创新技术可用于从农业到天文学的各种应用.

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科学领域:

  • 光学和光学
  • 计算机成像
  • 材料科学

背景情况:

  • 超光谱成像 (HSI) 提供了丰富的空间-时间-光谱数据用于材料特征.
  • 传统的HSI系统通常是庞大的,昂贵的和计算密集的.
  • 需要紧,高分辨率和实时的HSI解决方案.

研究的目的:

  • 开发一个芯片上的高光谱成像框架.
  • 在超光谱数据采集中实现高空间和时间分辨率.
  • 实现实时HSI,降低系统复杂性和成本.

主要方法:

  • 将宽带调制材料集成到图像传感器芯片上.
  • 不均地将光谱信息与每一个具有高光通量的像素结合起来.
  • 使用智能重建算法从单个中恢复多通道图像.
  • 通过光刻法制造可见近红外 (400-1,700 nm) 超光谱图像传感器.

主要成果:

  • 实现了芯片上的高空间 (1024x1024像素) 和时间 (124 fps) 解析度的高光谱成像框架.
  • 开发了一种带宽可见近红外传感器,具有96个波长通道和74.8%的平均光通量.
  • 通过芯片压缩和敏捷计算证明了实时超光谱成像能力.
  • 展示了包括智能农业,健康监测,工业自动化和天文学在内的多功能应用.

结论:

  • 在芯片上的计算超光谱成像框架显著推进了HSI技术.
  • 这种紧而高效的传感器克服了传统HSI系统的局限性.
  • 展示的应用突显了该技术在各个领域的广泛潜力.