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相关概念视频

Gastrulation01:56

Gastrulation

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Gastrulation establishes the three primary tissues of an embryo: the ectoderm, mesoderm, and endoderm. This developmental process relies on a series of intricate cellular movements, which in humans transforms a flat, “bilaminar disc” composed of two cell sheets into a three-tiered structure. In the resulting embryo, the endoderm serves as the bottom layer, and stacked directly above it is the intermediate mesoderm, and then the uppermost ectoderm. Respectively, these tissue strata...
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Tracking Morphogenetic Tissue Deformations in the Early Chick Embryo
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Tracking Morphogenetic Tissue Deformations in the Early Chick Embryo

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在变形器官和移动动物中基于深度学习的细胞跟踪.

Chentao Wen1

  • 1RIKEN Center for Biodynamic Research, Kobe, Japan. chentao.wen@riken.jp.

Methods in molecular biology (Clifton, N.J.)
|May 6, 2024
PubMed
概括

精确的细胞跟踪在移动生物的生物研究至关重要. 像3DeeCellTracker这样的深度学习方法现在能够精确地跟踪细胞,即使是复杂的运动和低质量的图像.

科学领域:

  • * 生物成像和分析.
  • * 计算生物学 计算生物学
  • * 生命科学中的深度学习应用.

背景情况:

  • * 细胞追踪对于理解大脑和心脏等动态器官中的生物功能至关重要.
  • * 由于器官变形和全身运动,跟踪细胞存在重大挑战,影响图像质量.
  • * 深度学习为在具有挑战性的成像场景中进行细胞检测和位置估计提供先进的解决方案.

研究的目的:

  • * 解决细胞跟踪在变形器官和移动动物中的挑战.
  • * 介绍使用3DeeCellTracker进行细胞细分和跟踪的详细协议.
  • *通过改进的细胞追踪,促进对器官动态和生物过程的更深入的了解.

主要方法:

  • *利用深度学习技术在低质量的图像中检测细胞.
  • * 采用先进的算法来估计在大型非刚性运动中细胞的位置.
  • * 通过3DeeCellTracker实施详细的数据准备,细胞细分和跟踪协议.

主要成果:

  • * 证明了深度学习的能力,以克服动态生物系统中细胞跟踪方面的挑战.
  • * 提供了一个强大的协议,用于在复杂环境中准确的细胞细分和跟踪.
  • *使研究人员能够从具有挑战性的时隔细胞成像中获得高质量的数据.
关键词:
3D时间缩短图像的3D图像.细胞追踪 细胞追踪深度学习是一种深度学习.变形的器官 变形的器官移动动物的动物

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Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
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Last Updated: Jun 27, 2025

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08:19

Tracking Morphogenetic Tissue Deformations in the Early Chick Embryo

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Tracking Mouse Bone Marrow Monocytes In Vivo
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Tracking Mouse Bone Marrow Monocytes In Vivo

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Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
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Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

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结论:

  • *基于深度学习的细胞跟踪显著提高了研究细胞动态 in vivo的能力.
  • * 3DeeCellTracker协议为研究器官动态的研究人员提供了一个强大的工具.
  • * 预计这种方法将有助于我们更好地了解移动生物体的基本生物过程.