Super-resolution capacity of variance-based stochastic fluorescence microscopy
arxiv(2023)
摘要
Improving the resolution of fluorescence microscopy beyond the diffraction
limit can be achievedby acquiring and processing multiple images of the sample
under different illumination conditions.One of the simplest techniques, Random
Illumination Microscopy (RIM), forms the super-resolvedimage from the variance
of images obtained with random speckled illuminations. However, thevalidity of
this process has not been fully theorized. In this work, we characterize
mathematicallythe sample information contained in the variance of
diffraction-limited speckled images as a functionof the statistical properties
of the illuminations. We show that an unambiguous two-fold resolutiongain is
obtained when the speckle correlation length coincides with the width of the
observationpoint spread function. Last, we analyze the difference between the
variance-based techniques usingrandom speckled illuminations (as in RIM) and
those obtained using random fluorophore activation(as in Super-resolution
Optical Fluctuation Imaging, SOFI).
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