This is the most complex filter available within latools, but can produce some of the best results.
The filter aims to identify the longest contiguous region within each ablation where the concentration of target analyte(s) is either maximised or minimised, and standard deviation is minimised.
First, we calculate the mean and standard deviation for the target analyte over all sub-regions of the data.
Next, we use the distributions of the calculated means and standard deviations to define some threshold values to identify the optimal region to select. For example, if the goal is to minimise the concentration of an analyte, the threshold concentration value will be the lowest disinct peak in the histogram of region means. The location of this peak defines the 'mean' threshold. Similarly, as the target is always to minimise the standard deviation, the standard deviation threshold will also be the lowest distinct peak in the histogram of standard devaiations of all calculated regions. Once identified, these thresholds are used to 'filter' the calculated means and standard deviations. The 'optimal' selection has a mean and standard deviation below the calculated threshold values, and contains the maximum possible number of data points.
~latools.latools.analyse.optimisation_plotscreates plots similar to the one above, showing the action of the optimisation algorithm.~latools.latools.analyse.trace_plotswith optionfilt=Truecreates plots of all data, showing which regions are selected/rejected by the active filters.~latools.latools.analyse.filter_onand~latools.latools.analyse.filter_offturn filters on or off.~latools.latools.analyse.filter_cleardeletes all filters.