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

12.2K
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...
12.2K

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

The mechanism underlying the quality deterioration effects of buckwheat flour on normal noodles: insights from its component perspectives.

Food research international (Ottawa, Ont.)·2026
Same author

An interpretable radiomics-machine learning model for early risk stratification of invasive fungal infections in community-acquired pneumonia: a dual-center study.

Scientific reports·2026
Same author

Post-pandemic shocks and non-suicidal self-injury risk in working-age adults: differential pathways via psychological distress and social support.

BMC public health·2026
Same author

Comparative effectiveness of non-pharmacological interventions for social anxiety disorder in adults: a systematic review and meta-analysis.

Frontiers in psychology·2026
Same author

Comparative effects of non-pharmacological interventions on anxiety, depression and quality of life in individuals with substance use disorders: A systematic review and network meta-analysis.

Journal of affective disorders·2026
Same author

Dual induction of tissue-resident T and B cell immunity for broad influenza protection with a nanofiber-VLP vaccine.

Journal of nanobiotechnology·2026

相关实验视频

Updated: Jan 13, 2026

A Bright NIR-II Fluorescence Probe for Vascular and Tumor Imaging
05:51

A Bright NIR-II Fluorescence Probe for Vascular and Tumor Imaging

Published on: March 17, 2023

2.3K

基于深度学习的高性能多光子光血管成像,使用临床批准的光探针.

Zhourui Xu1, Haoran Luo1, Ting Chen2

  • 1School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China.

iScience
|January 9, 2026
PubMed
概括

深度学习增强了使用标准探针的多光子光成像 (MPFI). 这种方法澄清了深层组织成像,使MPFI在临床使用中变得更加实用.

关键词:
生物计算方法是一种生物计算方法.纳米颗粒 纳米颗粒光学成像技术的使用.

更多相关视频

Intravital Microscopy of Tumor-associated Vasculature Using Advanced Dorsal Skinfold Window Chambers on Transgenic Fluorescent Mice
08:52

Intravital Microscopy of Tumor-associated Vasculature Using Advanced Dorsal Skinfold Window Chambers on Transgenic Fluorescent Mice

Published on: January 19, 2018

14.5K
A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment
10:39

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

Published on: May 24, 2022

2.7K

相关实验视频

Last Updated: Jan 13, 2026

A Bright NIR-II Fluorescence Probe for Vascular and Tumor Imaging
05:51

A Bright NIR-II Fluorescence Probe for Vascular and Tumor Imaging

Published on: March 17, 2023

2.3K
Intravital Microscopy of Tumor-associated Vasculature Using Advanced Dorsal Skinfold Window Chambers on Transgenic Fluorescent Mice
08:52

Intravital Microscopy of Tumor-associated Vasculature Using Advanced Dorsal Skinfold Window Chambers on Transgenic Fluorescent Mice

Published on: January 19, 2018

14.5K
A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment
10:39

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

Published on: May 24, 2022

2.7K

科学领域:

  • 生物医学成像技术 生物医学成像技术
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 纳米技术 纳米技术

背景情况:

  • 多光子光成像 (MPFI) 为深层组织可视化提供了高分辨率.
  • 现有的临床光探针不适合MPFI,限制了其临床翻译.
  • 定制MPFI探针的生物安全性仍然是一个重大问题.

研究的目的:

  • 开发一种深度学习方法,用于高性能MPFI使用临床批准的探针.
  • 为了克服MPFI当前光探针的局限性.
  • 为了提高MPFI的临床适用性.

主要方法:

  • 一个深度学习模型被训练在聚合诱导的发射光子纳米粒子的MPFI图像.
  • 该模型应用于使用商业量子点和氨酸绿色 (ICG) 获取的MPFI数据.
  • 该方法被评估为其处理以前未见的MPFI数据的能力,特别是大脑微血管.

主要成果:

  • 深度学习方法在未见的MPFI数据上表现出高性能.
  • 在大脑微血管结构的MPFI图像中观察到显著的优化.
  • 河马中的血管可视化得非常清晰,噪音降低.

结论:

  • 开发的深度学习策略有效地提高了MPFI使用标准探针的性能.
  • 这种方法提高了MPFI的实用性和临床适用性.
  • 该方法为在临床环境中推进深层组织成像提供了有价值的解决方案.