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

Bioinformatics. 2021 Mar 8;btab160. doi: 10.1093/bioinformatics/btab160. Online ahead of print.

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.