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相关概念视频

Light Acquisition02:16

Light Acquisition

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.
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...

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相关实验视频

Updated: Jun 18, 2026

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

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使用任意照明和检测模式的非视线成像.

Xintong Liu1, Jianyu Wang1, Leping Xiao2,3

  • 1Yau Mathematical Sciences Center, Tsinghua University, Beijing, 100084, PR China.

Nature communications
|June 3, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了非视线 (NLOS) 成像的新贝叶斯框架,可以在没有密集测量的情况下详细重建隐藏物体. 混焦补充信号对象协作规范化 (CC-SOCR) 算法扩展了NLOS成像应用.

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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
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相关实验视频

Last Updated: Jun 18, 2026

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科学领域:

  • 计算机成像成像技术
  • 光学和光子学 在光学和光子学.

背景情况:

  • 非视线 (NLOS) 成像重建隐藏在直接视线之外的物体.
  • 目前的NLOS方法需要广泛的,定期的网格测量,限制了在机器人和自动驾驶等动态环境中的实际使用.

研究的目的:

  • 为NLOS成像开发一个灵活的贝叶斯框架.
  • 克服现有算法的密度测量要求的局限性.
  • 为了在一般的中继条件下高质量重建隐藏物体的白度和表面正常值.

主要方法:

  • 为NLOS成像提出了贝叶斯框架,消除了对照明和检测点模式的限制.
  • 一个新的算法,共聚焦补充信号-对象协作规范化 (CC-SOCR),是使用虚拟共聚焦信号引入的.
  • 该方法可以实现对象属性的高保真重建,例如白度和表面正常值.

主要成果:

  • 在不同的中继场景中,CC-SOCR算法成功地重建了隐藏对象的细节 (白度和表面正常值).
  • 该框架显著降低了对普通继电器表面的测量密度要求,减少了采集时间.
  • 实验验证证明了拟议的NLOS成像方法的广泛适用性和有效性.

结论:

  • 开发的贝叶斯框架和CC-SOCR算法为NLOS成像提供了灵活和高效的解决方案.
  • 这种方法扩大了NLOS成像在需要在封闭环境中视觉的领域的实际应用范围.
  • 该方法推进了NLOS成像,通过减少测量复杂度来实现详细的重建.