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scale~\cite{Kapanidis_2006}. smFRET experiments can detect the distance between   two fluorescent labels (\textit{donor} and \textit{acceptor}) in the   3-10~nm range. In the commonly employed confocal geometry, molecules are free   to diffuse in solution. When a molecule traverses the excitation volume volume,  it emits a burst of photons that photons, which  can be detected by single-photon avalanche detectors (SPADs). diode (SPAD) detectors.  The intensities of donor and acceptor fluorescence   can then be related to the distance between the two dyes. 
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single-molecules in a continuous stream of photon, estimating the   background and other correction factors, filtering and finally extracting the corrected   FRET efficiencies for each sub-population in the sample. In this paper we introduce FRETBursts,  a software for confocal smFRET data analysis analysis,  which allows executing a complete burst analysis pipeline by using state-of-the-art algorithms.  FRETBursts is an open source python package that Python package, which  we envision both propose  as both a  toolkit for research and new developments in burst analysis analysis,  and as a  reference implementation of commonly employed algorithms. We follow the highest standard in software development to ensure that   the source is easy to read, well documented and thoroughly tested.   Moreover, in an effort to lower the barriers to computational reproducibility,   we embrace a modern workflow based on Jupyter notebooks that notebooks, which  allows to capture   of capturing  the whole analysis  process from reading  raw data to generating publication-ready  figures within a single document.