Figure 1.
Processing pipeline to automatically detect regions of interest (ROIs) and [Ca2+]c events at all time scales within an experiment. From a full movie, we calculated the mean (or other statistic) across all frames. We passed the mean image through a bandpass filter and define ROIs by detecting local peaks of light intensity. We then saved ROIs with all the important information (time traces, ROI coordinates, movie statistics, recording frequency, pixel size, etc.). Traces contained features at very different timescales—with different timescales presumably being important for different cell types. We collected them into separable events for analysis.