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

12.1K
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...
12.1K
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

732
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...
732
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

8.7K
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...
8.7K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

19.9K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
19.9K

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

Phylogenetic Inference and Ancestral Character Reconstruction of Diphyllobothriid Tapeworms (Cestoda: Diphyllobothriidae).

Animals : an open access journal from MDPI·2026
Same author

Health literacy-sensitive self-management interventions for chronic obstructive pulmonary disease: a systematic review and meta-analysis.

NPJ primary care respiratory medicine·2026
Same author

Hardware-Attentive Programmable Fourier Ptychography Enables Task-Adaptive Label-Free Virtual Staining.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Concept mask-aware pruning and augmentation for few sample model compression.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Physics-Informed Optimization for the Sub-Feature-Scale Fabrication of Hollow Microneedles via Digital Light Processing.

Micromachines·2026
Same author

Bacterial phospholipid selective quaternary phosphonium polymers with potent antibacterial activity.

Materials today. Bio·2026

相关实验视频

Updated: Jan 7, 2026

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
11:27

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

Published on: September 22, 2013

9.7K

多光谱成像和计算融合用于虚拟染色,具有扩展的深度场.

Bingshan Chen, Chaoqiang Wu, Junhong Huang

    Optics letters
    |December 24, 2025
    PubMed
    概括

    这项研究引入了一种新的深度学习方法,用于无标签的虚拟染色,提高病理学检查的准确性和兼容性. 该技术编码了光谱信息,使得强大的,无染料成像能够更快地进行诊断和体内研究.

    科学领域:

    • 生物医学成像技术 生物医学成像技术
    • 人工智能在病理学中的应用
    • 计算病理学计算病理学

    背景情况:

    • 虚拟染色为化学染色提供了人工智能驱动的替代方案,但在稳定性和临床工作流集成方面面临挑战.
    • 现有的方法往往与标准的病理学检查程序不兼容.
    • 对于先进的诊断来说,病理学中需要有效,可靠和无染料的染色方法至关重要.

    研究的目的:

    • 开发一种强大的,无标签的虚拟染色方法,使用深度学习进行准确的病理检查.
    • 将扩展的深度场图像与光谱信息集成在一起,以增强虚拟染色.
    • 创建一个与现有的临床工作流程兼容的插入式解决方案.

    主要方法:

    • 一个定制的成像系统被开发用于多维病理光谱信息采集.
    • 建立了一个端到端监督的光谱染色网络 (SSNet),用于光谱线索提取和特征学习.
    • 固有的光谱先验被编码为染色的视觉表示,以提高准确性.

    主要成果:

    • 提出的深度学习虚拟染色方法在各种组织中表现出强大的性能.
    • 在虚拟染色过程中实现了高的形态准确性和颜色保真度.
    • 该方法成功地消除了在成像之前需要外源染料的需求.

    更多相关视频

    A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections
    07:50

    A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections

    Published on: March 30, 2020

    10.0K
    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

    3.4K

    相关实验视频

    Last Updated: Jan 7, 2026

    Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
    11:27

    Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

    Published on: September 22, 2013

    9.7K
    A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections
    07:50

    A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections

    Published on: March 30, 2020

    10.0K
    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

    3.4K

    结论:

    • 开发的无标签虚拟染色方法为传统化学染色提供了准确而强大的替代方案.
    • 这种方法通过编码光谱先验来增强病理检查,提高形态准确性和颜色保真度.
    • 这种方法的无染料,插即用性质促进了更快的诊断,并为体外检查提供了可能性.