Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Plant biologists study pollen tubes to discover the functions of many proteins/ions and map the complex network of pathways that lead to an observable growth behavior. Many growth models have been proposed that address parts of the growth process: internal dynamics and cell wall dynamics, but they do not distinguish beten the two types of growth segments: straight versus turning behavior.  propose a method of classifying segments of experimental videos by extracting features from the growth process during each interval.  use a stress–strain relationship to measure the extensibility in the tip region. A biologically relevant three-component Gaussian is used to model spatial distribution of tip extensibility and a second-order damping system is used to explain the temporal dynamics. Feature-based classification shows that the location of maximum tip extensibility is the most distinguishing feature beten straight versus turning behavior.
['Asongu L. Tambo', 'Bir Bhanu']
I am writing a research paper on a idea Modeling and Classifying Tip Dynamics of Growing Cells in Video
[{"from": "human", "value": "I am writing a research paper on a idea Modeling and Classifying Tip Dynamics of Growing Cells in Video"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Plant biologists study pollen tubes to discover the functions of many proteins/ions and map the complex network of pathways that lead to an observable growth behavior. Many growth models have been proposed that address parts of the growth process: internal dynamics and cell wall dynamics, but they do not distinguish beten the two types of growth segments: straight versus turning behavior.  propose a method of classifying segments of experimental videos by extracting features from the growth process during each interval.  use a stress\u2013strain relationship to measure the extensibility in the tip region. A biologically relevant three-component Gaussian is used to model spatial distribution of tip extensibility and a second-order damping system is used to explain the temporal dynamics. Feature-based classification shows that the location of maximum tip extensibility is the most distinguishing feature beten straight versus turning behavior."}]