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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

7.8K
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...
7.8K

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

Random number generation from a self-chaotic broad-area VCSEL.

Optics letters·2026
Same author

Synchronization of complex spatio-temporal dynamics with lasers.

Light, science & applications·2026
Same author

Femtosecond laser-written mid-infrared waveguides in a heavy oxide germanate glass.

Optics letters·2025
Same author

Polarization and transverse-mode nonlinear dynamics in a multimode VCSEL.

Optics letters·2025
Same author

Passively mode-locked high-frequency dual-VCSEL system: erratum.

Optics express·2025
Same author

Chaos from a free-running broad-area VCSEL.

Optics letters·2025
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: Sep 17, 2025

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.0K

光折射水库计算计算的光折射水库.

Sebastian Alveteg, Marc Sciamanna, Alex Fuerbach

    Optics letters
    |July 1, 2025
    PubMed
    概括
    此摘要是机器生成的。

    储水库计算利用物理系统进行机器学习任务. 一台非线性光折射水库计算机成功预测了混乱的时间序列,实现了较低的平均平方误差.

    更多相关视频

    Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity
    11:30

    Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity

    Published on: March 6, 2017

    11.8K
    Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter
    05:14

    Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter

    Published on: September 16, 2025

    1

    相关实验视频

    Last Updated: Sep 17, 2025

    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
    14:09

    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

    Published on: November 16, 2019

    7.0K
    Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity
    11:30

    Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity

    Published on: March 6, 2017

    11.8K
    Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter
    05:14

    Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter

    Published on: September 16, 2025

    1

    科学领域:

    • 物理 物理学 物理
    • 计算机科学 计算机科学
    • 机器学习 机器学习

    背景情况:

    • 储水库计算 (RC) 是一个新兴的机器学习 (ML) 框架.
    • RC利用物理系统来执行复杂的计算.
    • 对替代计算范式的兴趣正在增长.

    研究的目的:

    • 证明非线性光折射储存器计算机的有效性.
    • 在需要非线性和内存的任务中使用储存电脑.
    • 为混乱时间序列预测优化储库.

    主要方法:

    • 使用非线性光折射储存器计算机.
    • 通过应用场和激光功率调整光折射响应来调整水库特征.
    • 执行了一个10步Mackey-Glass (MG) 时间序列预测任务.

    主要成果:

    • 光折射水库计算机成功执行了时间序列预测.
    • 实现了10步MG预测的5x10^-4的平均平方误差 (MSE).
    • 通过操纵物理参数来证明对水库特征的控制.

    结论:

    • 非线性光折射系统是可行的储计算.
    • 经过证明的RC可以处理需要非线性和内存的任务.
    • 物理参数调整允许针对特定的ML任务优化RC性能.