Abstract：
Cellular Potts models are broadly applied across developmental biology and cancer research. We overcome limitations of the traditional approach, which reinterprets a modified Metropolis sampling as ad hoc dynamics, by introducing a physical timescale through Poissonian kinetics and by applying principles of stochastic thermodynamics to separate thermal and relaxation effects from athermal noise and nonconservative forces. Our method accurately describes cell-sorting dynamics in mouse-embryo development and identifies the distinct contributions of nonequilibrium processes, e.g., cell growth and active fluctuations.
摘要：
细胞Potts模型广泛应用于发育生物学和癌症研究。我们克服了传统方法的局限性，将修改后的大都会抽样重新解释为临时动态，通过泊松动力学引入物理时间尺度，并应用随机热力学原理将热效应和弛豫效应与热噪声和非保守力分开。我们的方法准确地描述了小鼠胚胎发育中的细胞分选动力学，并确定了非平衡过程的不同贡献。例如，细胞生长和活跃波动。
