Artifact detection in fluorescence microscopy using convolutional autoencoder
Abstract To ensure analytical accuracy in fluorescence microscopy image analysis, robust artifact detection is essential. For large datasets or time-sensitive analyses, automation is advisable, as it not only reduces time and costs but also eliminates human bias and enhances reproducibility. Althoug...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-09-01
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| Col·lecció: | Scientific Reports |
| Accés en línia: | https://doi.org/10.1038/s41598-025-18943-6 |
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