Replication Data for: Multiple signal classification as a blind reconstruction approach for three-dimensional structured illumination microscopy
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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 image' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["3DSIM","computational nanoscopy","kidney","mitochondria","multiple signal classification algorithm","MUSICAL","structured illumination microscopy","super-resolution"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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 image' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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 image
3DSIM; computational nanoscopy; kidney; mitochondria; multiple signal classification algorithm; MUSICAL; structured illumination microscopy; super-resolution