Bringing data closer to intuition

A typical recording of cytosolic calcium in pancreatic tissue slices results in dozens of gigabytes of raw data. Conventional interaction with this data is often slow, hands-on intensive, and requires the use of many different applications, and a dedicated hardware, limiting simultaneous use by more than one experimenter. We have developed a set of interdependent tools to automatize as much as possible the analysis pipeline and enable fast interaction with such a complex dataset. This enabled us to shed light on the often neglected role of intracellular receptors in pancreatic islet glucose response.