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Liisa Hirvonen added section_Conclusion_With_the_recent__.tex
almost 9 years ago
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\section{Conclusion}
With the recent advances in single-molecule centroiding,
there is a large choice of well-characterized and user-friendly
programs and algorithms freely available. Our results show that
with the right choice of algorithm and starting parameters,
these programs can also be used for centroiding photon counting
imaging data, producing results with better resolution,
lower FPN, and in some cases even better event recognition
than the traditional photon centroiding algorithms. Moreover,
some of these programs contain additional features that,
although not tested here, could benefit photon counting imaging,
such as centroiding of overlapping events.
