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

7.7K
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...
7.7K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

5.4K
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...
5.4K

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

Space Dentistry Combined With Remote and AI Technologies, a Necessity for Long-Term Stays: Thoughts of US Astronauts' Unexpected Stay.

Oral diseases·2025
Same author

A Hybrid Compact Convolutional Transformer with Bilateral Filtering for Coffee Berry Disease Classification.

Sensors (Basel, Switzerland)·2025
Same author

Generation of Synthetic Non-Homogeneous Fog by Discretized Radiative Transfer Equation.

Journal of imaging·2025
Same author

AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies.

Sensors (Basel, Switzerland)·2025
Same author

Annotated Pap cell images and smear slices for cell classification.

Scientific data·2024
Same author

Pixel-wise segmentation of cells in digitized Pap smear images.

Scientific data·2024

相关实验视频

Updated: Sep 13, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.7K

使用YOLO和一个增强的DeepSORT算法在显微镜图像中改进细胞检测和跟踪.

Mokhaled N A Al-Hamadani1,2,3, Richard Poroszlay1, Gabor Szeman-Nagy4

  • 1Department of Data Science and Visualization, Faculty of Informatics, University of Debrecen, 4032 Debrecen, Hungary.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括

这项研究引入了用于检测和跟踪显微镜图像中的细胞的自动管道. 结合YOLOv8x和DeepSORT显著提高了细胞跟踪的准确性和生物研究数据的完整性.

关键词:
深度排序 (DeepSORT) 算法使用了深度排序算法.在UKF中,UKF是UKF.这是一个YOLO模型.细胞检测检测细胞检测器细胞跟踪追踪 细胞跟踪显微镜图像 显微镜图像多个尺度的ResNet50多个尺度的ResNet50多个尺度的ResNet50多个尺度的ResNet50

更多相关视频

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

8.3K
Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.6K

相关实验视频

Last Updated: Sep 13, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.7K
Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

8.3K
Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.6K

科学领域:

  • 生物技术是生物技术.
  • 生物医学研究生物医学研究
  • 细胞生物学 细胞生物学

背景情况:

  • 精确的细胞检测和跟踪显微镜图像对于生物研究至关重要.
  • 现有的方法在维护数据连续性和防止细胞身份切换方面面临挑战.

研究的目的:

  • 在显微镜图像系列中开发一条用于自动细胞检测和跟踪的集成管道.
  • 通过将深度学习与强大的跟踪算法相结合,提高细胞跟踪数据的准确性和完整性.

主要方法:

  • 使用微调的YOLOv8x模型进行初始细胞和细胞分裂检测.
  • 集成了DeepSORT跟踪算法,以改善数据关联和减少细胞身份交换机.
  • 在DeepSORT中使用预训练的卷积网络进行强大的多对象跟踪.

主要成果:

  • 集成管道使用增强的DeepSORT算法实现了93.21%的召回.
  • 原来的YOLOv8x模型实现了53.47%的召回率,突出显示了DeepSORT.的改进.
  • 该系统证明了从图像数据集中有效提取详细的细胞过程信息.

结论:

  • 拟议的管道提供了一种可靠的方法,用于在培养环境中近似细胞过程.
  • YOLOv8x和DeepSORT的组合显著提高了细胞跟踪性能和数据完整性.
  • 这种方法解决了用于生物技术和生物医学应用的自动化细胞分析的关键挑战.