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

A critical initialization for biological neural networks.

Nature·2026
Same author

Functional MRI signals as fast as 1Hz are coupled to brain states and predict spontaneous neural activity.

bioRxiv : the preprint server for biology·2025
Same author

A simplified minimodel of visual cortical neurons.

Nature communications·2025
Same author

Large-scale high-density brain-wide neural recording in nonhuman primates.

Nature neuroscience·2025
Same author

Unsupervised pretraining in biological neural networks.

Nature·2025
Same author

Spatial transcriptomics reveals human cortical layer and area specification.

Nature·2025

相关实验视频

Updated: May 28, 2025

Assessing Stem Cell DNA Integrity for Cardiac Cell Therapy
10:16

Assessing Stem Cell DNA Integrity for Cardiac Cell Therapy

Published on: January 25, 2019

7.7K

细胞pose3:一键图像恢复,以改善细胞细分.

Carsen Stringer1, Marius Pachitariu2

  • 1HHMI Janelia Research Campus, Ashburn, VA, USA. stringerc@janelia.hhmi.org.

Nature methods
|February 12, 2025
PubMed
概括

细胞pose3增强了用于噪音显微镜图像的细胞细分. 这个新版本在具有挑战性的,退化的图像数据上提高了图像质量和细分性能.

科学领域:

  • 显微镜图像分析分析
  • 计算生物学是一种计算生物学.
  • 生物图像信息学 生物图像信息学

背景情况:

  • 一般细胞细分模型在标准图像上表现良好.
  • 现有的方法在受噪声,模糊或低样本影响的显微镜图像中失败.
  • 这些图像退化是生物成像中的常见问题.

研究的目的:

  • 开发Cellpose3,专注于改善退化显微镜图像的细分.
  • 为了在噪音,模糊和低样本图像的细分精度和图像质量方面取得实质性收益.
  • 为具有挑战性的生物图像分析任务提供强大的工具.

主要方法:

  • 训练 Cellpose3 生成分段图像,而不是恢复像素值.
  • 确保恢复和原始图像之间的感知相似性.
  • 利用大量多样化的数据集来训练修复模型,以确保通用化.

主要成果:

  • 在噪音,模糊和低样本图像的即时细分方面显著改进.
  • 实现了增强的图像质量以及改进的细分.
  • 在各种用户提供的图像中验证了模型的概括功能.

更多相关视频

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
Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

6.5K

相关实验视频

Last Updated: May 28, 2025

Assessing Stem Cell DNA Integrity for Cardiac Cell Therapy
10:16

Assessing Stem Cell DNA Integrity for Cardiac Cell Therapy

Published on: January 25, 2019

7.7K
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
Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

6.5K

结论:

  • 细胞pose3为细分具有挑战性的显微镜图像提供了实质性的改进.
  • 新方法有效地处理噪音,模糊和低采样.
  • 通过其GUI和API,Cellpose3提供了可访问的"一键"解决方案.