Abstract
We consider the theoretical limits to microscopy techniques that involve activation of a sparse subset of the fluorescent molecules in the sample until each molecule has been imaged and localized (e.g. STOchastic Reconstruction Microscopy). The number of activation cycles required can be reduced by the intelligent use of image processing techniques to remove bad data from the analysis. We will also show that the performance of the image processing algorithm determines the trade-offs between speed (reducing the number of activation cycles) and resolution.
© 2009 Optical Society of America
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