Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC

BACKGROUND: High-throughput live-cell imaging is a powerful tool to study dynamic cellular processes in single cells but creates a bottleneck at the stage of data analysis, due to the large amount of data generated and limitations of analytical pipelines. Recent progress on deep learning dramaticall...

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Detalles Bibliográficos
Autores principales: Padovani, Francesco, Mairhörmann, Benedikt, Falter-Braun, Pascal, Lengefeld, Jette, Schmoller, Kurt M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356409/
https://www.ncbi.nlm.nih.gov/pubmed/35932043
http://dx.doi.org/10.1186/s12915-022-01372-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356409/
https://www.ncbi.nlm.nih.gov/pubmed/35932043
http://dx.doi.org/10.1186/s12915-022-01372-6

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