Replication Data for: Multiple signal classification as a blind reconstruction approach for three-dimensional structured illumination microscopy

The dataset contains replication data for the research paper \"Multiple signal classification as a blind reconstruction approach for three-dimensional structured illumination microscopy\" (3DSIM). The paper compares image reconstructions using conventional 3DSIM and two variants of \"Multiple signal classification algorithm\" (MUSICAL), MUS-S and MUS-CE. This dataset provides 1 image generated of mitochondria in living cells, 1 image of mitochondria in fixed cells, 1 image of nephrin in fixed murine kidney tissue using 3DSIM, MUS-S and MUS-CE. The 3DSIM raw data and reconstructions for H9c2 cells are available from https://doi.org/10.18710/PDCLAS. Four different types of image data are included: -Raw structured illumination kidney data used for all super-resolution image reconstructions (i.e., MUS-S, MUS-CE and 3DSIM) -3DSIM images of a kidney section. -MUS-S for kidney, fixed and live H9c2 cardiomyoblasts -MUS-CE for kidney, fixed and live H9c2 cardiomyoblasts The data is organized in different folders according to sample type (FixedCell/LiveCell H9c2, KidneyTissue), and reconstruction method (MUS-CE, MUS-S, 3DSIM). The image files are TIFF images. Abbreviations: 3DSIM - three-dimensional structured illumination microscopy MUSICAL - Multiple signal classification algorithm MUS-S - soft thresholding variant of MUSICAL MUS-CE - contrast enhancement, a low-resolution variant of MUSICAL LTDR - LysoTracker Deep Red MAX - maximum intensity z-projected three-dimensional images c or ch - channel