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

Fixation and Sectioning01:03

Fixation and Sectioning

8.8K
Two basic types of preparation are used to visualize specimens with a light microscope: wet mounts and fixed specimens.
The simplest type of preparation is the wet mount, in which the specimen is placed in a drop of liquid on the slide. A liquid specimen can be directly deposited on the slide using a dropper. Solid specimens, such as skin scraping, can be placed on the slide before adding a drop of liquid to prepare the wet mount. Sometimes the liquid is simply water, but stains are often added...
8.8K
Simple Staining Technique01:24

Simple Staining Technique

4.9K
OverviewStaining techniques in microscopy enhance the visualization of microorganisms by increasing contrast and allowing the differentiation of cellular structures. Simple staining is one of the fundamental methods used to observe the basic morphological characteristics of microorganisms, including their size, shape, and arrangement. This method relies on the application of a single dye to stain the entire cell, producing a clear contrast between the cell and the background.FixationFixation is...
4.9K
Differential Staining Technique01:26

Differential Staining Technique

2.7K
Differential staining is an essential microbiological technique that exploits variations in cell wall structures to classify and identify microorganisms. It facilitates the distinction of bacteria, aiding in diagnostic and research applications. Two of the most widely used differential staining methods are Gram staining and acid-fast staining, both of which rely on the chemical and structural differences in bacterial cell walls.Gram Staining TechniqueGram staining differentiates bacteria by...
2.7K

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

Endosome-phagophore linking assemblies for the degradation of membrane/extracellular proteins.

Nature communications·2025
Same author

Light field-guided optical synthetic aperture imaging system on master-slave UAVs.

Journal of the Optical Society of America. A, Optics, image science, and vision·2025
Same author

Three stream fusion network with color aware transformer for image to point cloud registration.

Scientific reports·2025
Same author

Functional group-directed electron shuttling by adsorbed humic acid exciting nontarget reactions and their enhancement non-radical oxidation in H<sub>2</sub>O<sub>2</sub>-based aquifer remediation.

Water research·2025
Same author

ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention.

Sensors (Basel, Switzerland)·2025
Same author

<i>MVMFCam</i>: an all-in-focus optical synthetic aperture imaging system based on multi-view multi-focus computational imaging.

Optics express·2025

相关实验视频

Updated: Mar 15, 2026

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

10.3K

MP-Stain-Detector:一种基于学习的污点检测方法,使用多光谱极化光学系统.

Shun Zou1,2,3, Pei An1,2,3, Xiaoming Liu4

  • 1School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|March 14, 2026
PubMed
概括

本研究介绍了一种新的多光谱极化光学系统,用于机器人扫地机器人,以改善复杂的室内环境中的污点检测. 这种新的系统提高了准确性,特别是在挑战浅色液体污点时.

关键词:
多光谱极化成像多光谱极化成像染色分类 染色分类 染色分类污点检测检测器 污点检测器机器人扫地机器人扫地机器人

更多相关视频

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

13.5K
Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy
05:54

Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

Published on: September 8, 2023

2.0K

相关实验视频

Last Updated: Mar 15, 2026

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

10.3K
Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

13.5K
Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy
05:54

Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

Published on: September 8, 2023

2.0K

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 光学工程是指光学工程.

背景情况:

  • 准确的污点检测对于机器人扫地机卫生评估和清洁至关重要.
  • 复杂的室内环境具有可变的照明和纹理挑战当前的污点检测方法.
  • 标准的红-绿-蓝 (RGB) 图像缺乏强大的污点识别区分特征.

研究的目的:

  • 开发一种先进的深度学习框架,用于机器人扫地机器人中的污点检测.
  • 通过结合多光谱和极化数据来克服RGB成像的局限性.
  • 在具有挑战性的现实场景中提高污点检测的准确性和稳定性.

主要方法:

  • 为机器人扫地机器人设计了一种轻量级的多光谱偏振光学模块.
  • 开发了一种基于多光谱极化 (MP) 的色彩探测器 (MP-stain-detector) 融合了光谱和极化特征.
  • 从现实家庭环境创建了一个全面的MP-Stain数据集,用于培训和评估.

主要成果:

  • 与传统方法相比,拟议的方法显著提高了污点检测的准确性.
  • 总体平均精度增加了2.44%.
  • 对浅色液体污点的精度提高了5.72%.

结论:

  • 多光谱极化成像的整合为机器人扫地机器人中污点检测提供了强大的解决方案.
  • 该MP-stain-detector框架和MP-Stain数据集为该领域提供了宝贵的贡献.
  • 这种方法提高了机器人系统对环境卫生监测的能力.