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...
Furkejuvvon:
| Váldodahkkit: | , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Nature Portfolio
2025-09-01
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| Ráidu: | Scientific Reports |
| Liŋkkat: | https://doi.org/10.1038/s41598-025-18943-6 |
| Fáddágilkorat: |
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