On study of cell proliferation and diffusion using nonlinear transforms of heat equation solutions

Fuente: arXiv
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Autori principali: Mishra, Preet, Kumar, Shyam, Shah, Sapna Ratan, Singh, R. K. Brojen
Natura: Preprint
Pubblicazione: 2025
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author Mishra, Preet
Kumar, Shyam
Shah, Sapna Ratan
Singh, R. K. Brojen
author_facet Mishra, Preet
Kumar, Shyam
Shah, Sapna Ratan
Singh, R. K. Brojen
contents Cell proliferation and diffusion can be modeled through reaction-diffusion systems describing the space-time evolution of a density variable. In this work, we present non-linear transformations of heat equation solutions to model cellular growth and diffusion using a Richards growth function. The solutions are obtained by using two-variable Hermite Polynomials. We estimated the parameters of the Richards function by comparing the model solutions with the experimentally observed data from scratch assays. To check robustness of the parameters estimated, we used a fractional Brownian Motion (fBM) field type noise with given Hurst exponent (H) for minimizing residual errors. We found that the parameters can be robustly estimated and match with previous estimations. Further, we also confirmed that the spatial-temporal patterns of cell density in the experiments can be well described by the solutions developed using the proposed nonlinear transforms method.
format Preprint
id arxiv_https___arxiv_org_abs_2505_23988
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On study of cell proliferation and diffusion using nonlinear transforms of heat equation solutions
Mishra, Preet
Kumar, Shyam
Shah, Sapna Ratan
Singh, R. K. Brojen
Chaotic Dynamics
Cell proliferation and diffusion can be modeled through reaction-diffusion systems describing the space-time evolution of a density variable. In this work, we present non-linear transformations of heat equation solutions to model cellular growth and diffusion using a Richards growth function. The solutions are obtained by using two-variable Hermite Polynomials. We estimated the parameters of the Richards function by comparing the model solutions with the experimentally observed data from scratch assays. To check robustness of the parameters estimated, we used a fractional Brownian Motion (fBM) field type noise with given Hurst exponent (H) for minimizing residual errors. We found that the parameters can be robustly estimated and match with previous estimations. Further, we also confirmed that the spatial-temporal patterns of cell density in the experiments can be well described by the solutions developed using the proposed nonlinear transforms method.
title On study of cell proliferation and diffusion using nonlinear transforms of heat equation solutions
topic Chaotic Dynamics
url https://arxiv.org/abs/2505.23988