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Antonino Ingargiola Address Reviewer 3, point 6. (2)
almost 8 years ago
Commit id: a600711a133ffcffd378840644c8c1066cb99e25
deletions | additions
diff --git a/Concepts_3.tex b/Concepts_3.tex
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...
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 constant fraction of photons
chosen randomly from either
the DexDem or DexAem photon
stream as proposed by~\cite{tsukanov_detailed_2013}. stream~\cite{Nir_2006}. This
simple and elegant method transforms the measurement data in order to
achieve $\gamma=1$, overcoming
issues the issue of selection bias between populations.
This approach has also the advantage of preserving
the binomial distribution of D and A photons in each burst, so that peaks
of FRET populations are easier to model statistically.
The only drawback
of this method is that, by discarding a fraction of photons,
it this method leads to information loss and therefore to
potentially decreased a potential
decrease in sensitivity and/or accuracy.
A simple way to mitigate the dependence of the FRET distribution on
diff --git a/FRETBursts authorea latex/full_article.tex b/FRETBursts authorea latex/full_article.tex
index e54fe11..9219ce0 100644
--- a/FRETBursts authorea latex/full_article.tex
+++ b/FRETBursts authorea latex/full_article.tex
...
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 constant fraction of photons
chosen randomly from either
the DexDem or DexAem photon
stream as proposed by~\cite{tsukanov_detailed_2013}. stream~\cite{Nir_2006}. This
simple and elegant method transforms the measurement data in order to
achieve $\gamma=1$, overcoming
issues the issue of selection bias between populations.
This approach has also the advantage of preserving
the binomial distribution of D and A photons in each burst, so that peaks
of FRET populations are easier to model statistically.
The only drawback
of this method is that, by discarding a fraction of photons,
it this method leads to information loss and therefore to
potentially decreased a potential
decrease in 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