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

6.8K
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...
6.8K

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

Comparative analysis of the impact of Heat shock protein 90 kDa or Cdc37 mutation on the yeast proteome.

Cell stress & chaperones·2026
Same author

Yeast two-hybrid-sequencing and bifluorescence complementation resources for assessing protein-protein interactions in arbuscular mycorrhizal roots: CKL2 as a case study.

The New phytologist·2025
Same author

Collaboration between two conserved sequence motifs drives ATPase stimulation of Hsp90 by Aha1.

Protein science : a publication of the Protein Society·2025
Same author

Correction: Hsp90 mutants with distinct defects provide novel insights into cochaperone regulation of the folding cycle.

PLoS genetics·2025
Same author

Collaboration between two conserved sequence motifs drives ATPase stimulation of Hsp90 by Aha1.

bioRxiv : the preprint server for biology·2025
Same author

FKBP51 functions in the regulation of circadian rhythm and Alzheimer's disease.

Cell stress & chaperones·2025

相关实验视频

Updated: May 21, 2025

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning
09:31

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

Published on: April 28, 2022

2.9K

通过融合深度学习和超低光显微镜来实现近零光子生物成像.

Lucas Sheneman1, Sulaimon Balogun2, Jill L Johnson3

  • 1Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID 83844-3051.

Proceedings of the National Academy of Sciences of the United States of America
|May 19, 2025
PubMed
概括

研究人员开发了近零光子生物成像,一种使用人工智能和专业显微镜重建极低光线图像的方法. 这提高了光学显微镜的可靠性和成像速度,克服了光子稀疏性的限制.

关键词:
影像成像技术 影像成像技术显微镜 显微镜是指使用显微镜.一个单光子的光子.

更多相关视频

Deep-Tissue Three-Photon Fluorescence Microscopy in Intact Mouse and Zebrafish Brain
08:26

Deep-Tissue Three-Photon Fluorescence Microscopy in Intact Mouse and Zebrafish Brain

Published on: January 13, 2022

4.7K
Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers
10:07

Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

Published on: April 9, 2014

9.9K

相关实验视频

Last Updated: May 21, 2025

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning
09:31

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

Published on: April 28, 2022

2.9K
Deep-Tissue Three-Photon Fluorescence Microscopy in Intact Mouse and Zebrafish Brain
08:26

Deep-Tissue Three-Photon Fluorescence Microscopy in Intact Mouse and Zebrafish Brain

Published on: January 13, 2022

4.7K
Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers
10:07

Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

Published on: April 9, 2014

9.9K

科学领域:

  • 生物技术是生物技术.
  • 光学显微镜的使用方法
  • 人工智能 (AI) 是一种人工智能.

背景情况:

  • 在光学显微镜中减少样品辐射对于可靠性和可重复性至关重要.
  • 低辐射率增加光子稀疏性 (Poisson噪声),限制图像质量.
  • 目前克服稀疏性的方法需要长时间的采集时间,从而降低成像率.

研究的目的:

  • 引入一种新的生物成像方法,可在显著降低的辐射强度和高速运行.
  • 为了克服生物成像中光子稀疏性的局限性.
  • 为了实现高准确度的成像与最小的光照曝光.

主要方法:

  • 开发了一种近零光子生物成像技术,将专门的光显微镜与超低背景功能相结合.
  • 利用人工智能 (AI) 算法,从极低的光子计数 (每像素仅为0.01光子) 来重建生物图像.
  • 在千赫兹 (kHz) 速率下运行系统,实现比标准显微镜低一万倍的辐射强度.

主要成果:

  • 从每像素接近零的光子来证明多细胞和亚细胞结构的高保真重建.
  • 实现了kHz成像速率,样本辐射量显著降低.
  • 展示了该方法捕捉最小光子计数所代表的特征的能力.

结论:

  • 近零光子生物成像为提高光学显微镜可靠性和速度提供了一个范式转变.
  • 这种由人工智能驱动的方法有效地从稀疏的光子数据中重建图像.
  • 这项技术具有超越显微镜的潜在应用,包括遥感和生物医学成像.