Published November 9, 2024 | Version v1

PSSR2 Data and Figures

  • 1. ROR icon University of California San Diego

Description

Datasets and trained models necessary to reproduce the figures and statistics in
PSSR2: a user-friendly Python package for democratizing deep learning-based point-scanning super-resolution microscopy.

  • pssr_metrics.ipynb // Notebook used to generate figures and statistics for Figure 1a-b
  • emdiffuse_metrics.ipynb // Notebook used to generate figures and statistics for Figure 1c
  • data
    • train // Data used in training EM super-resoluton model
    • test // Data used by notebooks to generate figures and statistics for Figure 1
  • models
    • vsPSSR_ResUNet_0.1275_p1.2.pth // Trained model weights for ResUNet used in benchmarking super-resolution performance vs PSSR
    • vsEMDiffuse_ResUNet_0.062.pth // Trained model weights for ResUNet used in benchmarking denoising performance vs EMDiffuse

Files

PSSR2 Data and Figures.zip

Files (9.0 GB)

Name Size
md5:797e39598f0afabd0ec0da593099086e
9.0 GB Preview Download

Additional details

Related works

Cites
Dataset: 10.1038/s41592-021-01080-z (DOI)

Software

Programming language
Python