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

Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

12.0K
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...
12.0K

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

Heterologous Expression Unexpectedly Activates the Host Cryptic Genes in <i>Aspergillus nidulans</i> and Enables the Discovery of Novel Natural Products.

Journal of fungi (Basel, Switzerland)·2026
Same author

Evaluation model for in-situ pyrolysis development potential of tar-rich coal based on fuzzy analysis, combined weighting, and grey-TOPSIS.

Scientific reports·2026
Same author

Real-time minimalist imaging via spatial aberration uniformization and re-parameterized restoration.

Optics express·2026
Same author

Ronchi lateral shearing interferometry with binary encoded sinusoidal transmittance grating.

Optics express·2026
Same author

Design of a broadband dual-channel panoramic system with a double-layer diffractive optical element.

Applied optics·2026
Same author

Robust and accurate Ronchi lateral shearing interferometry with hybrid optimization.

Applied optics·2026
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
查看所有相关文章

相关实验视频

Updated: Jan 12, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.8K

自主监督的模型驱动的深度学习用于两步相位移交干扰测量.

Runzhou Shi, Tian Zhang, Yuqi Shao

    Optics letters
    |November 4, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的以模型为驱动的深度学习方法,用于相位移交干扰测量. 与数据驱动技术相比,这种自我监督的方法通过将错误减少30%以上来提高准确性和概括性.

    更多相关视频

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
    08:39

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

    Published on: January 28, 2019

    10.3K
    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014

    16.9K

    相关实验视频

    Last Updated: Jan 12, 2026

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.8K
    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
    08:39

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

    Published on: January 28, 2019

    10.3K
    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014

    16.9K

    科学领域:

    • 光学和光子学 在光学和光子学.
    • 人工智能的人工智能
    • 计量学 计量学 计量学

    背景情况:

    • 干涉测量中的深度学习通常需要高质量的训练数据,限制准确性和通用性.
    • 现有的数据驱动方法面临着数据集依赖的挑战,以实现精确的阶段检索.

    研究的目的:

    • 开发一个基于模型的深度学习框架,用于两步相位移干扰测量.
    • 为了使准确和强大的相位检索没有地面真相相位图.

    主要方法:

    • 一个预先训练的规范化网络 (PNNet) 通过任意相位移将干扰图规范化.
    • 一个未经训练的模型驱动网络 (UMNet) 使用基于物理的模型进行自我监督的学习.
    • 阶段图和阶段转移是从正常化的干涉图生成的.

    主要成果:

    • 基于模型的方法实现了准确而强大的相位检索.
    • 与传统的数据驱动方法相比,错误减少了30%以上.
    • 证明了干扰度学自主监督学习的有效性.

    结论:

    • 基于模型的深度学习为相位移干扰测量的数据驱动方法提供了一个有希望的替代方案.
    • 自主监督学习显著提高了准确性,并减少了对广泛培训数据集的依赖.
    • 这种方法推进了高精度相位检索技术.