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
