数字双胞胎的数据驱动推断,用于移动和光敏微生物的高通量表型化
Andrea Giusti1, Davide Salzano1, Mario di Bernardo1
1Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Campania, Italy.
Journal of the Royal Society, Interface
|January 28, 2026
概括
研究人员开发了一个新的平台来创建微生物的数字双胞胎,使其能够准确地建模它们的光驱动运动和集体行为,以更好地理解和控制生物.
科学领域:
- 微生物学 微生物学
- 生物物理学的生物物理.
- 计算生物学 计算生物学
背景情况:
- 微生物表现出对光敏感的运动,对于光合作用等过程至关重要.
- 这些行为的准确建模受到数据采集挑战的限制.
研究的目的:
- 开发一个集成的实验和计算平台来收集大规模的成像数据.
- 创建个人微生物行为的精确的计算模型 ("数字双胞胎").
- 为了能够对集体微生物对光的反应进行多层次的分析.
主要方法:
- 时间成像的综合实验和计算平台.
- "数字双胞胎"的推理"数学精确的计算模型.
- 对于速度和光响应的概括现象学模型的参数化.
主要成果:
- 数字双胞胎精确地复制了各种微生物在中的光反应.
- 该模型捕获了Euglena gracilis和Volvox aureus的关键行为特征.
- 在动态光线条件下准确地复制个人和群体的运动模式.
结论:
- 该平台促进了多层次生物行为的自动表型化.
- 设计空间控制算法的新机会,以指导微生物群体.
- 进步了解微生物中的光驱动集体行为.
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