Update Spike Detection Formula

[KayaHub]

So far spikes are detected based on a user determined threshold ranging from 0-1. Normalized intensity levels equal or above that threshold are considered a peak/spike. However, it has been noticed that some data may require a threshold value greater than 1. Additionally, the detection is much better if the chosen threshold is compared to the average of the normalized intensity data. Based on these insights I propose to update the spike detection formula as follows:

• 1. allow the user to set a threshold (aka FACTOR) ranging from 0-2 (I do not think that higher values will be necessary)

• 2. To determine whether an intensity value corresponds to a peak/spike use the following formula: normalized intensity value >= FACTOR*(AVG of all normalized intensity values for that cell). If true write 1 if false write 0 in the respective time frame.