Sensitivity of CNN image analysis to multifaceted measurements of neurite growth

Sensitivity of CNN image analysis to multifaceted measurements of neurite growth

Abstract Quantitative analysis of neurite growth and morphology is essential for understanding the determinants of neural development and regeneration, however, it is complicated by the labor-intensive process of measuring diverse parameters of neurite outgrowth. Consequently, automated approaches h...

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Bibliographic Details
Main Authors: Joseph T. Vecchi, Sean Mullan, Josue A. Lopez, Madeline Rhomberg, Annamarie Yamamoto, Annabelle Hallam, Amy Lee, Milan Sonka, Marlan R. Hansen
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Bioinformatics
Subjects:
Neurite growth
Neuron morphology
Machine learning
Convolutional neural network
Explainable AI
Neurite guidance
Online Access:https://doi.org/10.1186/s12859-023-05444-4

Internet

https://doi.org/10.1186/s12859-023-05444-4

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