Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

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

Circulating Neutrophils Exhibit an Altered Immune Response in Chronic LUTS: An Image-Based Deep Learning Analysis.

International urogynecology journal·2026

Same author

DeBCR: a sparsity-efficient framework for image enhancement through a deep-learning-based solution to inverse problems.

Communications engineering·2026

Same author

Regularized Gradient Statistics Improve Generative Deep Learning Models of Super Resolution Microscopy.

Small methods·2025

Same author

A Benchmark for Virus Infection Reporter Virtual Staining in Fluorescence and Brightfield Microscopy.

Scientific data·2025

Same author

A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning.

Scientific data·2025

Same author

Artificial Intelligence Methods in Infection Biology Research.

Methods in molecular biology (Clifton, N.J.)·2025

Search research articles

相关实验视频

Updated: Jan 14, 2026

Viral Concentration Determination Through Plaque Assays: Using Traditional and Novel Overlay Systems

Viral Concentration Determination Through Plaque Assays: Using Traditional and Novel Overlay Systems

Published on: November 4, 2014

PyPlaque是一个开源的python包,用于对病毒斑块检测的表型分析.

Trina De^1,2, Vardan Andriasyan^3,4, Artur Yakimovich^5,6,7,8

¹Center for Advanced Systems Understanding (CASUS), Görlitz, Germany.

Scientific reports

|October 16, 2025

概括

PyPlaque是一个新的开源Python包,用于量化斑块测试中的病毒颗粒. 它提供了一个灵活的模块化设计,以提高病毒学研究中的测量准确性和分析.

更多相关视频

Plaquing of Herpes Simplex Viruses

Plaquing of Herpes Simplex Viruses

Published on: November 5, 2021

Aseptic Laboratory Techniques: Plating Methods

Aseptic Laboratory Techniques: Plating Methods

Published on: May 11, 2012

相关实验视频

Last Updated: Jan 14, 2026

Viral Concentration Determination Through Plaque Assays: Using Traditional and Novel Overlay Systems

Viral Concentration Determination Through Plaque Assays: Using Traditional and Novel Overlay Systems

Published on: November 4, 2014

Plaquing of Herpes Simplex Viruses

Plaquing of Herpes Simplex Viruses

Published on: November 5, 2021

Aseptic Laboratory Techniques: Plating Methods

Aseptic Laboratory Techniques: Plating Methods

Published on: May 11, 2012

科学领域:

病毒学病毒学
生物图像分析生物图像分析
计算生物学计算生物学

背景情况:

病毒学斑块检测对于量化传染性病毒颗粒至关重要.
目前用于斑块检测图像分析的软件往往缺乏模块化,表现出测量差异,并且是封闭源代码.
这些局限性在病毒学生物图像分析中存在重大障碍.

研究的目的:

介绍PyPlaque,一个开源的Python包,旨在灵活和模块化量化病毒学斑块检测.
通过提供可适应的图像分析解决方案来解决现有工具的局限性.
为了提高斑块计数测量的准确性和一致性.

主要方法:

开发了PyPlaque作为一个使用面向对象编程的开源Python包.
实现了一个抽象的架构,以适应各种实验格式和样本载体.
专注于在多个细分级别上提取和分析表型特定的信息.

主要成果:

与现有的工具相比,PyPlaque表现出更强的灵活性和模块化.
该套件有效地减轻了斑块测试中的测量异常.
面向对象的设计使其更容易适应各种实验容器和生物环境.

结论:

PyPlaque提供了一种多功能和开源解决方案,用于病毒学斑块检测量量.
它的模块化设计和对准确性的关注使其成为研究人员的宝贵工具.
底层的架构原则可用于其他生物图像分析任务.