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

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Item Type:Article
Title:FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids
Creators Name:Preusser, F. and Dos Santos, N. and Contzen, J. and Stachelscheid, H. and Costa, E.T. and Mergenthaler, P. and Preibisch, S.
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.
Source:Bioinformatics
ISSN:1367-4803
Publisher:Oxford University Press
Volume:37
Number:18
Page Range:3088-3090
Date:15 September 2021
Official Publication:https://doi.org/10.1093/bioinformatics/btab160
External Fulltext:View full text on PubMed Central
PubMed:View item in PubMed
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https://edoc.mdc-berlin.de/19376/Preprint version

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