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FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids

Authors

  • F. Preusser
  • N. Dos Santos
  • J. Contzen
  • H. Stachelscheid
  • E.T. Costa
  • P. Mergenthaler
  • S. Preibisch

Journal

  • Bioinformatics

Citation

  • Bioinformatics 37 (18): 3088-3090

Abstract

  • SUMMARY: Here, we propose Fourier ring correlation-based quality estimation (FRC-QE) as a new metric for automated image quality estimation in 3 D fluorescence microscopy acquisitions of cleared organoids that yields comparable measurements across experimental replicates, clearing protocols and works for different microscopy modalities. AVAILABILITY AND IMPLEMENTATION: FRC-QE is written in ImgLib2/Java and provided as an easy-to-use and macro-scriptable plugin in Fiji. Code, documentation, sample images and further information can be found under https://github.com/PreibischLab/FRC-QE.


DOI

doi:10.1093/bioinformatics/btab160