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...

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Detalles Bibliográficos
Autores principales: Arvidsson, Malou, Rashed, Salma Kazemi, Aits, Sonja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
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

Internet

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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