不确定性意识的拉力力显微镜
Adithan Kandasamy1,2,3, Yi-Ting Yeh1,2, Ricardo Serrano3
1Department of Mechanical Engineering, University of Washington, Seattle, Washington, United States of America.
PLoS computational biology
|June 12, 2025
概括
这项研究引入了一种不确定性意识的引力力显微镜 (TFM) 技术. 它通过计算测量误差和减少主观参数选择,更可靠地量化细胞所施加的力.
科学领域:
- 生物物理学的生物物理.
- 细胞力学 细胞力学
- 图像分析 图像分析
背景情况:
- 拉力力显微镜 (TFM) 使用弹性基板和跟踪标记物量化细胞力.
- TFM计算条件不佳,需要规范化,这通常依赖于主观参数选择.
- 现有的TFM方法缺乏对基板变形错误及其对引应力影响的可靠不确定性量化.
研究的目的:
- 开发一种不确定性意识的TFM技术 (TFM-UQ) 以可靠地量化细胞所施加的力.
- 为了估计和传播基板变形的测量不确定性到引应力计算.
- 为了自动化规范化参数选择和提高TFM分析的客观性.
主要方法:
- 使用非参数引导方法来扰乱粒子图像速度测量 (PIV) 交叉相关性以估计变形不确定性.
- 实施了层次化的贝叶斯式TFM框架,并进行了空间适应性规范化,以传播不确定性.
- 使用具有不同图像质量的合成数据集评估了TFM-UQ并将其应用于实验数据.
主要成果:
- TFM-UQ成功地估计了引应力向量的变化大小和方向.
- 该技术绕过了主观规范化参数选择,并局部调整了光滑.
- TFM-UQ客观地指导图像分析参数的选择,例如PIV窗口大小.
结论:
- TFM-UQ为TFM提供了不确定性意识的方法,提高了细胞力测量的可靠性和可解释性.
- 这种方法通过根据输入数据的不确定性调整平滑来优于传统的规范化技术.
- 开发的工具有助于将生物异质与测量变异性脱,并使大数据集的自动分析成为可能.
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