Jove
Visualize
联系我们

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
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

772
Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
772

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

RadGazeGen: radiomics and gaze-guided chest X-ray generation using diffusion models.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

<i>GAZE2REPORT</i>: RADIOLOGY REPORT GENERATION VIA VISUAL-GAZE PROMPT TUNING OF LLMS.

ArXiv·2026
Same author

Radiomics-based Differentiation of Recurrent Brain Metastases from Treatment Effects: A Multi-Institutional Comparative Study with Advanced Imaging.

Radiology. Imaging cancer·2026
Same author

Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical Strategies, and Clinical Applications.

Radiology. Imaging cancer·2026
Same author

Bubble Detection in Gas-Solid Separation Fluidized Beds Based on Deep Learning.

ACS omega·2025
Same author

Genetic Evidence Prioritizes Neurocognitive Decline as a Causal Driver of Sleep Disturbances: A Multi-Omics Analysis Identifying Causal Genes and Therapeutic Targets.

Current issues in molecular biology·2025
Same journal

Wavelet-inspired diffusion model with near-field constraint for real-time echocardiography dehazing.

Medical image analysis·2026
Same journal

Co-assistant networks by pathology foundation model and convolutional neural network for gigapixel whole slide image analysis.

Medical image analysis·2026
Same journal

MBAS2024: A large-scale benchmark for multi-class bi-atrial segmentation in multi-center contrast-enhanced MRIs.

Medical image analysis·2026
Same journal

Respiratory motion augmentation for personalized super-resolution (RMApSR) of 3D cine MR images in MRI-guided radiotherapy.

Medical image analysis·2026
Same journal

Biom3d, a modular framework to host and develop 3D segmentation methods.

Medical image analysis·2026
Same journal

Embracing intra-class heterogeneity for semi-supervised medical image segmentation: From diversity to precision.

Medical image analysis·2026
查看所有相关文章
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

相关实验视频

Updated: Jan 16, 2026

Ground State Depletion Super-resolution Imaging in Mammalian Cells
07:55

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Published on: November 5, 2017

7.5K

SuperDiff:用于数字病理学的扩散超分辨率方法,具有全面的质量评估.

Xuan Xu1, Saarthak Kapse1, Prateek Prasanna1

  • 1Stony Brook University, United States of America.

Medical image analysis
|September 30, 2025
PubMed
概括
此摘要是机器生成的。

基于扩散的新方法SuperDiff增强了数字病理学图像,以更好地诊断. 它在超级分辨率任务中优于生成对抗网络 (GAN),提高了诊断准确性.

关键词:
扩散模型的扩散模型.数字病理学数字病理学图像超高分辨率的超级分辨率

更多相关视频

Confocal and Super-Resolution Imaging of Polarized Intracellular Trafficking and Secretion of Basement Membrane Proteins During Drosophila Oogenesis
10:41

Confocal and Super-Resolution Imaging of Polarized Intracellular Trafficking and Secretion of Basement Membrane Proteins During Drosophila Oogenesis

Published on: May 19, 2022

2.6K
Super-resolution Imaging of Neuronal Dense-core Vesicles
09:30

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

10.1K

相关实验视频

Last Updated: Jan 16, 2026

Ground State Depletion Super-resolution Imaging in Mammalian Cells
07:55

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Published on: November 5, 2017

7.5K
Confocal and Super-Resolution Imaging of Polarized Intracellular Trafficking and Secretion of Basement Membrane Proteins During Drosophila Oogenesis
10:41

Confocal and Super-Resolution Imaging of Polarized Intracellular Trafficking and Secretion of Basement Membrane Proteins During Drosophila Oogenesis

Published on: May 19, 2022

2.6K
Super-resolution Imaging of Neuronal Dense-core Vesicles
09:30

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

10.1K

科学领域:

  • 数字病理学数字病理学
  • 医学成像医学成像
  • 人工智能的人工智能是人工智能.

背景情况:

  • 整体幻灯片图像 (WSIs) 对于疾病诊断至关重要,但往往受到技术限制.
  • 生成对抗网络 (GANs) 显示出对图像超分辨率的承诺,但面临着诸如基因病理学过拟合等挑战.
  • 现有的评估指标不足以评估组织病理学图像质量.

研究的目的:

  • 介绍SuperDiff,一种基于扩散的新方法,用于生成和评估超高分辨率的基因病理图像.
  • 解决GANs在组织病理学超分辨率中的局限性,并开发组织学特定的评估指标.
  • 为数字病理学中多分辨率图像生成提供多功能解决方案.

主要方法:

  • 开发了SuperDiff,它包含了对先前病原体病理的恢复模块和可控制的扩散模块.
  • 策划了两个组织病理学数据集用于培训和评估.
  • 提出了使用全参考和无参考指标的综合评估策略.

主要成果:

  • 与基于GAN的最先进方法相比,SuperDiff在多个数据集上表现出卓越的性能.
  • 该方法有效地处理来自不同输入大小的多分辨率生成.
  • 拟议的评估策略提供了对数字病理学图像质量的可靠评估.

结论:

  • 超级Diff在组织病理学图像超分辨率方面取得了重大进展.
  • 该方法为数字病理学中的诊断过程提供了宝贵的支持.
  • SuperDiff的基于扩散的方法克服了GAN在这个领域的局限性.