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

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

BIOMERO 2.0: End-to-end FAIR infrastructure for bioimaging data import, analysis, and provenance.

Journal of microscopy·2026
Same author

Generation of an isogenic human induced pluripotent stem cell line for spinocerebellar ataxia type 1.

Stem cell research·2026
Same author

In vitro models of cell competition: current approaches and future directions.

Oncogene·2026
Same author

RA-risk synovium exhibits DNA damage coupled with impaired DNA repair in fibroblasts.

RMD open·2026
Same author

Pre-clinical studies investigating the combination of hypofractionated radiation with hyperthermia in a murine tumor and normal skin.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group·2025
Same author

Clonal dispersal is associated with tumor heterogeneity and poor prognosis in colorectal cancer.

iScience·2025
Same journal

Zero-shot reconstruction of mutant spatial transcriptomes.

Patterns (New York, N.Y.)·2026
Same journal

Dendritic nonlinearities mitigate communication costs.

Patterns (New York, N.Y.)·2026
Same journal

Erratum: Agentic AI as a coordination paradigm in digital health and agri-food systems.

Patterns (New York, N.Y.)·2026
Same journal

Spacing effect improves generalization in biological and artificial systems.

Patterns (New York, N.Y.)·2026
Same journal

A multi-modal foundation model for brain disease diagnosis and medical imaging.

Patterns (New York, N.Y.)·2026
Same journal

DuoMod-Net: Logarithmic balancing and geometric refinement for imbalanced semi-supervised medical image segmentation.

Patterns (New York, N.Y.)·2026
查看所有相关文章

相关实验视频

Updated: Jun 14, 2025

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
14:28

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

7.9K

BIOMERO:一个可扩展和可扩展的图像分析框架.

Torec T Luik1, Rodrigo Rosas-Bertolini1, Eric A J Reits1

  • 1Amsterdam UMC, Department of Medical Biology, Amsterdam, North-Holland 1105AZ, the Netherlands.

Patterns (New York, N.Y.)
|September 5, 2024
PubMed
概括
此摘要是机器生成的。

为了实现无的生物图像分析,BIOMERO连接了OMERO,FAIR工作流和HPC环境. 这个工具使研究人员的AI和可扩展的图像处理实现了民主化,促进了工作流的可重复使用性.

关键词:
通过流的过程.细胞氨酸 (Cytomine) 是一种公平的工作流程.这就是奥梅罗的奥梅罗.一个脏的泥沼.生物成像是一种生物成像.高含量查的使用方法高性能计算的高性能计算.高通量选的高通量选图像分析图像分析

更多相关视频

Rapid Analysis and Exploration of Fluorescence Microscopy Images
11:41

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Published on: March 19, 2014

12.3K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.7K

相关实验视频

Last Updated: Jun 14, 2025

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
14:28

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

7.9K
Rapid Analysis and Exploration of Fluorescence Microscopy Images
11:41

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Published on: March 19, 2014

12.3K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.7K

科学领域:

  • 生物成像是一种生物成像.
  • 计算生物学 计算生物学
  • 数据管理数据管理

背景情况:

  • 将可查找,可访问,可互操作和可重复使用 (FAIR) 图像分析工作流与生物成像数据管理平台和高性能计算 (HPC) 环境集成提出了重大挑战.
  • 现有的系统通常需要专门的技术专业知识,限制了许多研究人员的可访问性.

研究的目的:

  • 推出BIOMERO (在OMERO中进行生物图像分析),这是一个新的解决方案,旨在弥合OMERO,FAIR工作流和HPC环境.
  • 为了使生物图像分析的FAIR工作流程能够无执行,特别是对于大型数据集.
  • 授权研究人员,无论技术专业知识如何,利用可扩展的图像处理和AI工具.

主要方法:

  • 作为一个中介,BIOMERO将OMERO生物成像数据管理平台与FAIR工作流程和HPC资源连接起来.
  • 它可以从OMERO内部直接执行复杂的图像分析管道.
  • 该系统支持不同生物成像社区的FAIR工作流程的共享和互操作性,包括OMERO和Cytomine/BIAFLOWS.

主要成果:

  • BIOMERO可实现FAIR图像分析工作流程的无集成和执行.
  • 它允许对大型生物成像数据集进行可扩展的处理,包括来自高内容和高通量选的数据集.
  • 该平台支持在各种生物成像社区共享和重复使用工作流程.

结论:

  • 在生物成像研究中,BIOMERO显著简化了FAIR工作流程的应用.
  • 它为更广泛的研究社区民主使用先进的图像处理和人工智能工具.
  • 预计BIOMERO的广泛采用将提高生物成像研究的可重复使用性和影响.