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

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

Quercetin in bone regeneration: optimization of drug delivery system and study of its synergistic mechanism with bone tissue engineering.

Frontiers in pharmacology·2026
Same author

GelMA Hydrogel Stiffness Modulates IL-6- and BMP-2-Induced Immune Dysregulation in Human Mesenchymal Stem Cells.

Biomedicines·2026
Same author

Evaluation of <i>Pseudomonas chlororaphis</i> JK77 as a biocontrol agent for <i>Fusarium graminearum</i> in maize stalk rot management.

Plant disease·2026
Same author

Structure-based optimization of GSK2982772-derived RIPK1 inhibitors reveals the dispensability of the methylene linker and identifies a potent anti-necroptosis candidate for further optimization.

European journal of medicinal chemistry·2026
Same author

Tislelizumab combined with gemcitabine as first-line treatment in cisplatin-ineligible patients with locally advanced or metastatic urothelial carcinoma: a single center, single-arm phase 2 trial.

Frontiers in immunology·2026
Same author

Risk prediction models for malnutrition in dialysis patients in China: a systematic review and meta-analysis.

Renal failure·2026

相关实验视频

Updated: Sep 11, 2025

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
10:53

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Published on: January 3, 2017

10.0K

适应性图像选择方法用于基于低水平视觉任务驱动网络和液态镜头的焦点堆叠.

Jiale Wei, Shanshan Wang, Qun Hao

    Applied optics
    |August 12, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种适应性方法来捕获焦点堆图像,使用视觉网络和液态镜头来最大限度地减少图像,同时保持质量. 这种方法可以实现更快,更准确的全焦图像重建.

    更多相关视频

    Live-imaging of the Drosophila Pupal Eye
    09:54

    Live-imaging of the Drosophila Pupal Eye

    Published on: January 12, 2015

    9.6K
    Applications of Immobilization of Drosophila Tissues with Fibrin Clots for Live Imaging
    08:52

    Applications of Immobilization of Drosophila Tissues with Fibrin Clots for Live Imaging

    Published on: December 22, 2020

    3.2K

    相关实验视频

    Last Updated: Sep 11, 2025

    Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
    10:53

    Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

    Published on: January 3, 2017

    10.0K
    Live-imaging of the Drosophila Pupal Eye
    09:54

    Live-imaging of the Drosophila Pupal Eye

    Published on: January 12, 2015

    9.6K
    Applications of Immobilization of Drosophila Tissues with Fibrin Clots for Live Imaging
    08:52

    Applications of Immobilization of Drosophila Tissues with Fibrin Clots for Live Imaging

    Published on: December 22, 2020

    3.2K

    科学领域:

    • 计算机视觉 计算机视觉
    • 图像处理 图像处理
    • 光学是什么?光学是什么?光学是什么?

    背景情况:

    • 全焦 (AIF) 图像在显微镜,医学成像和计算机视觉中至关重要.
    • 焦点堆叠是生成 AIF 图像的关键技术,但有效捕获焦点堆图像仍然是一个挑战.

    研究的目的:

    • 为高效的焦点堆图像采集提出适应性图像选择方法.
    • 为了保持完整的图像质量,使用最小数量的焦点堆图像.
    • 为了提高全焦图像重建的准确性和速度.

    主要方法:

    • 开发了一个低级别的视觉任务驱动网络,FocalAIF-Net,包括一个两个分支的FocalNet和一个辅助的AIFNet.
    • 使用深度信息,FocalNet从失焦图像中估计了模糊和焦点地图.
    • 集成了一种液态镜头,用于快速变焦,由真实世界实验的决策算法指导.

    主要成果:

    • 在三个基准数据集中,FocalAIF-Net表现出可接受的概括性能.
    • 现实世界的实验证实了使用液态透镜的自适应方法的有效性.
    • 与传统方法相比,拟议的方法获得了焦点堆,从而获得了更准确的AIF图像,处理时间缩短.

    结论:

    • 拟议的自适应图像选择方法显著提高了焦点堆图像采集的效率和有效性.
    • 这种方法为常见的平均间隔方法提供了更好的替代方案,特别是当与液态透镜技术相结合时.
    • 该研究有助于推进各种应用的全焦成像技术.