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

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

4.7K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
4.7K

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

High-speed optical tracking and augmented reality platform for image-guided interventions.

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

Enhancing 1p/19q Classification in Brain Gliomas Using IDH Status: A Deep Learning Study.

AJNR. American journal of neuroradiology·2026
Same author

Polarized hyperspectral and polarized light microscopic imaging for enhanced visualization of white blood cells.

Journal of biomedical optics·2026
Same author

Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.

Journal of biomedical optics·2026
Same author

Development and validation of a high-resolution hyperspectral imaging system for the retina.

Journal of biomedical optics·2026
Same author

A spatial-spectral vision transformer model for head and neck cancer detection with hyperspectral, RGB, and synthesized RGB histologic images.

Proceedings of SPIE--the International Society for Optical Engineering·2026

相关实验视频

Updated: Jul 1, 2025

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
08:49

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

Published on: December 1, 2023

1.4K

一个自动全幻灯片高光谱成像显微镜.

Minh Ha Tran1,2, Ofelia Gomez1,2, Baowei Fei1,2,3

  • 1The Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.

Proceedings of SPIE--the International Society for Optical Engineering
|March 14, 2024
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种用于数字化病理幻灯片的自动化超光谱全幻灯片成像 (HWSI) 系统. 这种强大的模块化显微镜能够有效地获取用于计算机辅助诊断和生物研究的数据.

关键词:
超光谱成像技术的使用.自动化自动化自动化自动化我们的数据库数据库数据库数据库.深度学习是一种深度学习.整个幻灯片成像成像技术

更多相关视频

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
00:07

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.0K
Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping
12:19

Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping

Published on: December 8, 2015

12.5K

相关实验视频

Last Updated: Jul 1, 2025

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
08:49

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

Published on: December 1, 2023

1.4K
Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
00:07

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.0K
Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping
12:19

Identification of Metal Oxide Nanoparticles in Histological Samples by Enhanced Darkfield Microscopy and Hyperspectral Mapping

Published on: December 8, 2015

12.5K

科学领域:

  • 数字病理学数字病理学
  • 医学成像医学成像
  • 组织病理学 组织病理学

背景情况:

  • 整体幻灯片成像 (WSI) 将组织学幻灯片数字化,以提高效率和计算机辅助诊断.
  • 超光谱成像 (HSI) 捕获数据在波长的广泛范围,包括超出可见光谱.

研究的目的:

  • 开发和实施一种自动化显微镜系统,用于获取超光谱全幻灯片图像 (HWSI).
  • 为HWSI获取创建一个强大的模块化系统.

主要方法:

  • 开发一种能够进行HWSI采集的自动化显微镜系统.
  • 利用来自不同制造商的模块化组件来提高系统的稳定性.
  • 创建一个包含49个甲状腺癌HWSI的数据库.

主要成果:

  • 成功开发和实施了一种自动化的HWSI显微镜系统.
  • 通过模块化设计来证明系统的稳定性.
  • 建立甲状腺癌的HWSI数据库.

结论:

  • 自动全幻灯片高光谱成像显微镜是一种强大的系统,在生物和医学研究中具有潜在的应用.
  • 这项技术促进了先进的数字病理学和计算机辅助诊断.
  • 开发的系统能够有效地从大型组织样本中获取高光谱数据.