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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., Dos Santos, N., Contzen, J., Stachelscheid, H., Costa, E.T., 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. |
| Keywords: | Three-Dimensional Imaging, Fluorescence Microscopy, Software |
| 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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