YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells

SUMMARY: We introduce YeastSpotter, a web application for the segmentation of yeast microscopy images into single cells. YeastSpotter is user-friendly and generalizable, reducing the computational expertise required for this critical preprocessing step in many image analysis pipelines. AVAILABILITY...

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Detalles Bibliográficos
Autores principales: Lu, Alex X, Zarin, Taraneh, Hsu, Ian S, Moses, Alan M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821424/
https://www.ncbi.nlm.nih.gov/pubmed/31095270
http://dx.doi.org/10.1093/bioinformatics/btz402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821424/
https://www.ncbi.nlm.nih.gov/pubmed/31095270
http://dx.doi.org/10.1093/bioinformatics/btz402

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