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

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Bioinformatics. 2021 Jul;37(18):3088-3090. doi: 10.1093/bioinformatics/btab160

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

Preusser F, Santos N, Contzen J, Stachelscheid H, Costa ÉT, Mergenthaler P, Preibisch S

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Abstract

SUMMARY: Here, we propose Fourier ring correlation-based quality estimation (FRC-QE) as a new metric for automated image quality estimation in 3D 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 for Fiji. Code, documentation, sample images and further information can be found under https://github.com/PreibischLab/FRC-QE.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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

Abstract

PMID: 33693580 [PubMed - indexed for MEDLINE]

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