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Oxford University Press, Bioinformatics, 18(37), p. 3088-3090, 2021

DOI: 10.1093/bioinformatics/btab160

Proceeding of the Virtual 12th Light Sheet Fluorescence Microscopy Conference 2020, 2020

DOI: 10.22443/rms.lsfm2020.19

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

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

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.