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\label{fit:cluster}  **Classifying detected events.** **A** Based on the 4 shape parameters (see Figure \ref{fig:fit}), a density based clustering algorithm is used to classify pixel events into categories. Plots show projections of 4-dimensional parameter space. Colours represent event categories. Black signifies events which could not be categorized. Categories obtained from clustering by shape plotted according to event location. **B** In the second step of classification each shape category is clustered further based on location. Groups of pixel events are obtained that make up a Ca2+ release even (in this case sparks and a wave). **C** Using only pixel events that were successfully classified a new ΔF/F0 image can be built using only classified events (compare with \ref{fig:fit}F) \ref{fig:linescan}R)