Check out AQuA (Astrocyte Quantification and Analysis), a tool to detect signaling events.

AQuA (Astrocyte Quantification and Analysis) is an effective tool to detect signaling events from microscopic time-lapse imaging data of astrocytes or other cell types. The algorithm, developed by Guoqiang Yu’s group at Virginia Tech, is data-driven and based on machine learning principles and can be applied across model organisms, fluorescent indicators, experimental modalities, cell types, and imaging parameters.

More information about AQuA:

A prototype for a web-based service version of AQuA is also under development. Please stay tuned!