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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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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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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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    科学领域:

    • 生物医学成像技术 生物医学成像技术
    • 光学工程是指光学工程.
    • 计算机视觉 计算机视觉

    背景情况:

    • 光学连贯断层扫描 (OCT) 提供快速,非破坏性的成像,但在深层组织或低功率下,其亮度下降.
    • 可见光微OCT (vis-μOCT) 由于波长较短,受分散和透深度的限制.
    • 不够的反射光显著限制了在具有挑战性的成像场景中对OCT的应用.

    研究的目的:

    • 引入DifNIR,这是一个用于增强低光照射条件的OCT图像的新框架.
    • 解决在OCT,特别是在Vis-μOCT图像亮度下降的问题.
    • 为了提高深层组织的OCT成像的透深度和清晰度.

    主要方法:

    • 在DifNIR框架中,包含了一个初步的申报阶段.
    • 使用神经隐性表示 (NIR) 网络实现图像增强,使用像素值作为辅助输入.
    • 无监督学习是通过定制设计的损失函数来实现的.

    主要成果:

    • 在面对面的图像数据集上,DifNIR表现出卓越的性能,达到高SNR (58.99 dB) 和CNR (49.56 dB).
    • 该方法显著改善了视觉质量和图像指标,NIQE得分为9.0553.
    • DifNIR显示出强大的通用性,有效地增强了来自不同设备的OCT B扫描和视网膜图像.

    结论:

    • 拟议的DifNIR网络有效地减轻了亮度退化,产生了更清晰,更好照明的OCT图像.
    • 该框架在各种海外成像模式和数据集中表现出强大的概括能力.
    • DifNIR 能够揭示深层信息,扩展了OCT 应用到具有成本效益的高速成像设置中.