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相关概念视频

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...
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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 developed.
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...

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相关实验视频

Updated: Jun 23, 2026

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.5K

贝叶斯的多曝光图像融合用于强大的高动态范围图形学.

Shantanu Kodgirwar, Lars Loetgering, Chang Liu

    Optics express
    |November 14, 2024
    PubMed
    概括

    使用多曝光图像融合 (MEF) 的高动态范围成像增强了连贯的衍射成像分辨率. 一种新的贝叶斯MEF方法改善了相位检索,特别是在信号噪声比较低的条件下.

    科学领域:

    • 光学和成像技术的发展
    • 计算成像技术的成像
    • 科学仪器仪表科学仪器仪表

    背景情况:

    • 连贯衍射成像 (CDI) 解析度通常受到探测器动态范围的限制.
    • 传统的多曝光图像融合 (MEF) 方法在低信号噪声比 (SNR) 和照明变化方面遇到了困难.
    • 精确的相位检索需要强大的处理检测器的限制.

    研究的目的:

    • 开发一种先进的多曝光图像融合 (MEF) 方法,用于高动态范围 (HDR) 成像在连贯衍射成像 (CDI) 中.
    • 在具有挑战性的实验条件下提高相位检索精度,包括低SNR和照明波动.
    • 提供一种适用于CDI以外的多功能HDR成像解决方案.

    主要方法:

    • 提出了贝叶斯MEF方法,利用修改的Poisson分布来建模背景和和.
    • 使用预期最大化 (EM) 算法推断模型参数.
    • 使用合成和实验性图解学数据验证了该方法.

    主要成果:

    • 与传统的MEF技术相比,提出的贝叶斯MEF方法显示出更高的性能.
    • 实现了增强的相位检索精度,特别是在弱散射标本和有限的SNR场景中.
    • 这种方法有效地考虑了背景噪音和探测器和.

    更多相关视频

    Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
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    Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion

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    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

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    相关实验视频

    Last Updated: Jun 23, 2026

    Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
    11:35

    Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

    Published on: December 8, 2010

    16.5K
    Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
    10:30

    Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion

    Published on: September 4, 2013

    9.6K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.1K

    结论:

    • 强大的MEF对于推进图形学和其他CDI技术至关重要.
    • 贝叶斯MEF方法在具有挑战性的实验设置中为HDR成像提供了显著的改进.
    • 开发的算法作为一个Python包提供,以实现广泛的可访问性和应用.