K-means Clustering of Intracellular Calcium Signal Transients

Abstract

Neurological diseases pose a significant public health challenge, leading to disability and mortality globally. Current diagnostics for neuroinflammatory diseases are complex and lack efficacy, necessitating invasive procedures. Calcium signaling dynamics in astrocytes and microglia play pivotal roles in central nervous system (CNS) function and dysfunction. This study curates time-series data on calcium transients in astrocytes and microglia, employing live-cell imaging techniques and preprocessing methodologies. Using k-means clustering, we analyze the data, revealing optimal clustering solutions between 2 to 6 clusters. This research offers valuable insights for understanding CNS disorders and highlights the potential of clustering techniques in neurological research.