Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

13.0K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
13.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Challenges and prospects for malaria elimination in the Greater Mekong Subregion.

Acta tropica·2011
Same author

[Optimization of extraction procedure of tongmai granules by orthogonal design with pharmacodynamic index].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2011
Same author

Determinants of postoperative corneal edema and impact on goldmann intraocular pressure.

Cornea·2011
Same author

Z-palatopharyngoplasty plus genioglossus advancement and hyoid suspension for obstructive sleep apnea hypopnea syndrome.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2011
Same author

Efficient and selective photodimerization of 2-naphthalenecarbonitrile mediated by cucurbit[8]uril in an aqueous solution.

Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology·2011
Same author

Quality assurance and quality improvement in U.S. clinical molecular genetic laboratories.

Current protocols in human genetics·2011

相关实验视频

Updated: May 24, 2025

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.6K

实用紧深压缩传感 实用紧深压缩传感

Bin Chen, Jian Zhang

    IEEE transactions on pattern analysis and machine intelligence
    |March 3, 2025
    PubMed
    概括

    本研究介绍了PCNet,这是一个用于压缩传感 (CS) 的深度学习网络,可以显著降低用于图像重建的采样成本. PCNet显示出卓越的准确性和概括性,特别是在高分辨率图像中.

    科学领域:

    • 计算机视觉 计算机视觉
    • 信号处理 信号处理
    • 机器学习 机器学习

    背景情况:

    • 深度网络在压缩传感 (CS) 中取得了成功,降低了采样成本.
    • CS可以大大降低数据采集费用.
    • 人们越来越关注CS,因为它在各种应用中的效率.

    研究的目的:

    • 提出PCNet,一个实用而紧的深度网络,用于CS的一般形象.
    • 为高效的数据采集设计一个新的协作抽样运营商.
    • 开发一个增强的重建网络,以提高性能.

    主要方法:

    • PCNet采用一个具有深度条件过和双分支快速采样的协作采样运营商.
    • 采样运算符使用已学到的卷积和变换,如使用高斯矩阵的DCT.
    • 一个增强的近接梯度下降无卷网络促进了图像重建.

    主要成果:

    • PCNet在自然,量化和自我监督的CS中实现了卓越的重建准确性和概括性.
    • 该网络在高分辨率图像上表现出色.
    • 一个面向部署的方案使单像素CS系统的硬件集成成为可能.

    更多相关视频

    Compact Quantum Dots for Single-molecule Imaging
    17:14

    Compact Quantum Dots for Single-molecule Imaging

    Published on: October 9, 2012

    18.0K
    A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging
    05:32

    A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging

    Published on: June 21, 2017

    10.4K

    相关实验视频

    Last Updated: May 24, 2025

    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    17.6K
    Compact Quantum Dots for Single-molecule Imaging
    17:14

    Compact Quantum Dots for Single-molecule Imaging

    Published on: October 9, 2012

    18.0K
    A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging
    05:32

    A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging

    Published on: June 21, 2017

    10.4K

    结论:

    • 对于任意采样率,PCNet提供了灵活性,可解释性和强大的恢复性能.
    • 提出的方法推进了用于压缩传感的深度学习领域.
    • PCNet为高效的图像采集和重建提供了一个实用的解决方案.