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\section{Conclusion}  With the recent developments in single-molecule localisation microscopy, there is a large choice of well-characterized and user-friendly programs software packages  and algorithms freely available. It has been shown previously that when applied to centroiding photon counting imaging data from an MCP-intensified camera system, these programs can produce results with better resolution, lower FPN, and in some cases even better event recognition than the traditional single-iteration  photon centroiding algorithms. In this work we have shown that these programs produce excellent results when applied to centroidingmuch  smaller and dimmer single photon events from an EBCCD camera with significant background noise. It was Moreover, we have  also demonstrated that multi-emitter fitting analysis can be applied to separating separate  overlapping photon events -- an important consideration for fluorescence lifetime photon counting  imaging fluorescence microscopy  where the count rate is usually limited by the need to avoid overlapping photon events.