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An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines
Automated detection of cell nuclei in fluorescence microscopy images is a key task in bioimage analysis. It is essential for most types of microscopy-based high-throughput drug and genomic screening and is often required in smaller scale experiments as well. To develop and evaluate algorithms and ne...
Autores principales: | Arvidsson, Malou, Rashed, Salma Kazemi, Aits, Sonja |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727632/ https://www.ncbi.nlm.nih.gov/pubmed/36506804 http://dx.doi.org/10.1016/j.dib.2022.108769 |
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