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

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.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Preusser F

PROVIDER: S-EPMC8479654 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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

Preusser Friedrich F Dos Santos Natália N Contzen Jörg J Stachelscheid Harald H Costa Érico Tosoni ÉT Mergenthaler Philipp P Preibisch Stephan S

Bioinformatics (Oxford, England) 20210901 18

<h4>Summary</h4>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.<h4>Availability and implementation</h4>FRC-QE is written in ImgLib2/Java and provided as an easy-to-use and macro-scriptable plugin for Fiji. Code, documen ...[more]

PMID: 33693580

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