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FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479654/ https://www.ncbi.nlm.nih.gov/pubmed/33693580 http://dx.doi.org/10.1093/bioinformatics/btab160 |
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author | Preusser, Friedrich dos Santos, Natália Contzen, Jörg Stachelscheid, Harald Costa, Érico Tosoni Mergenthaler, Philipp Preibisch, Stephan |
author_facet | Preusser, Friedrich dos Santos, Natália Contzen, Jörg Stachelscheid, Harald Costa, Érico Tosoni Mergenthaler, Philipp Preibisch, Stephan |
author_sort | Preusser, Friedrich |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8479654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84796542021-09-30 FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids Preusser, Friedrich dos Santos, Natália Contzen, Jörg Stachelscheid, Harald Costa, Érico Tosoni Mergenthaler, Philipp Preibisch, Stephan Bioinformatics Applications Notes 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. Oxford University Press 2021-03-08 /pmc/articles/PMC8479654/ /pubmed/33693580 http://dx.doi.org/10.1093/bioinformatics/btab160 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Preusser, Friedrich dos Santos, Natália Contzen, Jörg Stachelscheid, Harald Costa, Érico Tosoni Mergenthaler, Philipp Preibisch, Stephan FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids |
title | FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids |
title_full | FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids |
title_fullStr | FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids |
title_full_unstemmed | FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids |
title_short | FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids |
title_sort | frc-qe: a robust and comparable 3d microscopy image quality metric for cleared organoids |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479654/ https://www.ncbi.nlm.nih.gov/pubmed/33693580 http://dx.doi.org/10.1093/bioinformatics/btab160 |
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