在由基于神经网络的反控制器调节的电场下控制细胞迁移模式.
Giovanny Marquez1, Mohammad Jafari2, Manasa Kesapragada1
1Department of Applied Mathematics, Baskin School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Bioengineering (Basel, Switzerland)
|July 29, 2025
概括
这项研究引入了一种新的神经网络控制器,以精确调节使用电场 (EF) 的细胞迁移. 增强的控制器确保了准确的轨迹跟踪,并且在指导细胞运动以修复组织方面优于标准方法.
科学领域:
- 生物物理学的生物物理.
- 细胞生物学 细胞生物学
- 控制系统工程 控制系统工程
背景情况:
- 电场 (EF) 用于组织再生和伤口愈合.
- 细胞对EF的反应,特别是细胞迁移,是复杂的,并未完全理解.
- 精确控制细胞迁移对于发育,免疫反应和修复至关重要.
研究的目的:
- 开发一个闭环控制系统,精确调节人口层次的细胞迁移.
- 适应神经网络 (NN) 反控制器以引导安全约束下的细胞迁移.
- 为了应对非线性动态和EF大小限制在细胞迁移控制中所带来的挑战.
主要方法:
- 对先前开发的NN反控制器进行重构,用于单细胞膜电位调节.
- 调整NN控制器以适应人口层面的细胞迁移指导.
- 将投影运算符嵌入NN权重更新法中,以防止和诱导的不适应性学习.
- 数字模拟用于验证控制器在和条件下的性能.
- 在2D培养中使用单向EF来指导巨细胞电的体外概念验证实施.
- 新型控制器与标准的比例积分导数 (PID) 控制器的比较.
主要成果:
- 经过修改的NN控制器显示了精确的轨迹跟踪,即使控制信号在EF极限和时也是如此.
- 经过调整的NN控制器在模拟中表现优于原来的NN设计.
- 在体外实验中,通过使用开发的控制器,成功指导了原始巨细胞迁移.
- 性能比较表明在特定场景中比标准PID控制器有优势.
结论:
- 开发的基于NN的反控制器提供了人口层次细胞迁移的精确,闭环调节.
- 嵌入式投影操作员有效地减轻了EF和引起的问题.
- 这种方法提供了一种可靠的方法来控制电动细胞迁移,在再生医学和组织工程中具有潜在的应用.
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