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Antonino Ingargiola Address Reviewer 3, point 6.
almost 8 years ago
Commit id: e573fce9a686f70f59c14b27ed618e2317e8e37c
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diff --git a/Concepts_3.tex b/Concepts_3.tex
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in order to avoid under-representing some FRET sub-populations
due to different quantum yields of donor and acceptor dyes and/or
different photon detection efficiencies of donor and acceptor channels.
An alternative method to apply the $\gamma$ correction is to randomly
discard a fixed fraction of photons from either the DexDem or DexAem
photon stream as proposed by~\cite{tsukanov_detailed_2013}. This
simple and elegant method transforms the measurement data in order to
achieve $\gamma=1$, overcoming issues of selection bias between populations.
The only drawback of this method is that, by discarding a fraction of photons,
it leads to information loss and therefore to potentially decreased sensitivity
and/or accuracy.
A simple way to mitigate the dependence of the FRET distribution on
the burst size selection threshold is weighting bursts proportionally to their size
diff --git a/FRETBursts authorea latex/full_article.tex b/FRETBursts authorea latex/full_article.tex
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--- a/FRETBursts authorea latex/full_article.tex
+++ b/FRETBursts authorea latex/full_article.tex
...
in order to avoid under-representing some FRET sub-populations
due to different quantum yields of donor and acceptor dyes and/or
different photon detection efficiencies of donor and acceptor channels.
An alternative method to apply the $\gamma$ correction is to randomly
discard a fixed fraction of photons from either the DexDem or DexAem
photon stream as proposed by~\cite{tsukanov_detailed_2013}. This
simple and elegant method transforms the measurement data in order to
achieve $\gamma=1$, overcoming issues of selection bias between populations.
The only drawback of this method is that, by discarding a fraction of photons,
it leads to information loss and therefore to potentially decreased sensitivity
and/or accuracy.
A simple way to mitigate the dependence of the FRET distribution on
the burst size selection threshold is weighting bursts proportionally to their size