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Ardo Illaste edited fit_iter.md
almost 10 years ago
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First, the highest ranked regions are fitted with the extended fit function. After parameter optimization with the signal in the region is fitted with a linear model. For both models the corrected Akaike Information Criterion (AICc \cite{Burnham_2004}) is calculated and the region is taken to contain an event only if the AICc for the fit function is less than the AICc for the line. This ensures that the fit obtained with the fit function is good enough to justify the use of a more complicated model. After this each the fits are subtracted from the original signal. This allows the lower ranked regions to be fitted with reduced interference from higher ranking regions (see supporting info figures). When all regions have been fitted and their fits subtracted from the signal, the remaining signal is fitted with a polynomial function to approximate the baseline fluorescence.
At each pass regions which have no overlaps and regions which only overlap with In the second stage signals from regions
having a lower peak SNR are fitted
(Figure \ref{fig:regs}D). After a successful again. Before performing the fit, the
result is baseline and previously obtained fits for other regions are subtracted from the
original signal and region detection is performed again, followed by fitting. raw signal. This
process is continued until no more regions allows the simpler fit function to be used as the extra offset parameters are
detected or successfully fitted. no longer needed.