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Quantitative Analysis of Protein Expression to Study Lineage Specification in Mouse Preimplantation Embryos
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核实例细分和跟踪用于植入前小鼠胚胎.

Hayden Nunley1, Binglun Shao1,2, David Denberg3

  • 1Center for Computational Biology, Flatiron Institute - Simons Foundation, New York, NY 10010, USA.

Development (Cambridge, England)
|October 7, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了一种新的小鼠模型和数据集 (BlastoSPIM),用于准确的3D核细分和早期胚胎的跟踪. 这使得用于发育生物学研究的精确血统追踪成为可能.

关键词:
图像分析 图像分析血统追踪 追踪血统的追踪方式鼠标 鼠标是一个鼠标.核细分的核细分是指核细分.植入前的胚胎是在植入前的.

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科学领域:

  • 发展生物学 发展生物学
  • 生物技术是生物技术.
  • 生物成像是一种生物成像.

背景情况:

  • 自动3D核细分和跟踪对于研究植入前胚胎发育至关重要.
  • 挑战包括低信号对噪声,高密度和可变形状,使准确的分析变得复杂.
  • 监督机器学习提高了准确性,但需要大量的注释3D数据.

研究的目的:

  • 开发一种新的鼠标线和数据集,以改进3D核实例细分和谱系跟踪.
  • 在这种情况下,对卷积神经网络进行准确性基准测试.
  • 在胚胎发育早期建立一个完整的核追踪管道.

主要方法:

  • 产生了一个新的鼠标线,表达近红外核记者H2B-miRFP720.
  • 创建了3D胚胎图像的BlastoSPIM数据集,其中包括核实实例.
  • 他们对7个卷积神经网络进行了基准测试,确定了Stardist-3D作为表现最好的人.
  • 使用训练有素的Stardist-3D模型开发了一个完整的细分和血统跟踪管道.

主要成果:

  • 确定了Stardist-3D作为七个测试中的最准确的实例细分方法.
  • 成功构建了一个全面的核细分和血统追踪管道,从八个细胞阶段到植入前开发的结束.
  • 证明了BlastoSPIM数据集对预训练模型在相关成像任务和模型系统中的实用性.

结论:

  • 布拉斯托SPIM数据集和训练有素的Stardist 3D模型为植入前胚胎的3D核细分和血统追踪提供了强大的解决方案.
  • 这种资源有助于对发展过程进行高通量分析.
  • BlastoSPIM作为有价值的预训练数据,用于推进生物成像分析.