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

Controlled self-assembly of a pyrene-based bolaamphiphile by acetate ions: from nanodisks to nanofibers by fluorescence enhancement.

Soft matter·2015
Same author

Gradual-order enhanced stability: a frozen section of electrospun nanofibers for energy storage.

Nanoscale·2015
Same author

[Association of human epicardial adipose tissue volume and inflammatory mediators with atherosclerosis and vulnerable coronary atherosclerotic plaque].

Zhonghua xin xue guan bing za zhi·2015
Same author

Ultrasensitive SERS detection of trinitrotoluene through capillarity-constructed reversible hot spots based on ZnO-Ag nanorod hybrids.

Nanoscale·2015
Same author

pERK1/2 silencing sensitizes pancreatic cancer BXPC-3 cell to gemcitabine-induced apoptosis via regulating Bax and Bcl-2 expression.

World journal of surgical oncology·2015
Same author

Probing and controlling liquid crystal helical nanofilaments.

Nano letters·2015
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 3, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

463

基于注意力的深度学习,用于准确的细胞图像分析.

Xiangrui Gao1, Fan Zhang1, Xueyu Guo1

  • 1XtalPi Innovation Center, 706 Block B, Dongsheng Building, Haidian District, Beijing, China.

Scientific reports
|January 8, 2025
PubMed
概括
此摘要是机器生成的。

X-Profiler是一种新的高含量分析 (HCA) 方法,可以改善用于药物发现的细胞图像分析. 它通过过噪声信号来准确地表征细胞表型,优于现有方法.

更多相关视频

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.5K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K

相关实验视频

Last Updated: Jun 3, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

463
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.5K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K

科学领域:

  • 生物医学成像学 生物医学成像学
  • 计算生物学是一种计算生物学.
  • 药物发现 药物发现

背景情况:

  • 高含量分析 (HCA) 对于药物发现至关重要,但在噪音图像数据方面面临挑战.
  • 现有的HCA方法可能是低效的,产生不准确的结果,阻碍深度学习应用.

研究的目的:

  • 介绍X-Profiler,一种新的HCA方法,旨在克服当前图像分析的局限性.
  • 提高细胞图像分析的准确性和效率,用于药物发现和研究.

主要方法:

  • X-Profiler集成了细胞实验,先进的图像处理和深度学习.
  • 它使用卷积神经网络和变压器的组合来进行高内容图像编码.
  • 该方法有效过噪音,并表征细胞表型.

主要成果:

  • 在与DeepProfiler和CellProfiler进行的比较测试中,X-Profiler在比较测试中表现出卓越的性能.
  • 对药物诱导的心脏毒性,线粒体毒性和化合物分类任务进行评估.
  • 实现了更准确的细胞表型表征和降低噪声.

结论:

  • X-Profiler为HCA提供了一种多功能和有效的解决方案.
  • 该方法具有很大的潜力,可以促进药物开发和疾病研究.
  • 预计X-Profiler将在HCA领域得到广泛的应用.