Published September 27, 2022 | Version v1
Dataset Open

BioSR+: Dataset Extension of biological images for super-resolution microscopy

Authors/Creators

  • 1. Tsinghua University

Contributors

Data collector (2):

  • 1. Institute of Biophysics, Chinese Academy of Sciences

Description

BioSR+ dataset is an extension of our pre-published BioSR dataset of biological images for super-resolution microscopy, currently including image pairs of low-and-high resolution images of five biology structures (CCPs, ER, MTs, F-actin, Myosin-IIA) and 8 signal levels for each ROI. The BioSR+ dataset is related to our Nature Methods paper "Evaluation and development of deep neural networks for image super-resolution in optical microscopy" (DOI: 10.1038/s41592-020-01048-5) and Nature Biotechnology paper "Rationalized deep learning super-resolution  
microscopy for sustained live imaging of rapid subcellular processes" (DOI:10.1038/s41587-022-01471-3). Both BioSR and BioSR+ are freely available and can be used for non-commercial purposes with proper citations of above two papers.

Files

CCPs.zip

Files (9.3 GB)

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Additional details

References

  • Qiao, C. et al. Evaluation and development of deep neural networks for image super-resolution in optical microscopy. Nature Methods 18, 194-202 (2021).
  • Qiao, C. et al. Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes. Nature Biotechnology (2022).