A Machine Learning-Based Image Segmentation Method to Quantify In Vitro Osteoclast Culture Endpoints

Quantification of in vitro osteoclast cultures (e.g. cell number) often relies on manual counting methods. These approaches are labour intensive, time consuming and result in substantial inter- and intra-user variability. This study aimed to develop and validate an automated workflow to robustly qua...

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Detalles Bibliográficos
Autores principales: Davies, Bethan K., Hibbert, Andrew P., Roberts, Scott J., Roberts, Helen C., Tickner, Jennifer C., Holdsworth, Gill, Arnett, Timothy R., Orriss, Isabel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516805/
https://www.ncbi.nlm.nih.gov/pubmed/37566229
http://dx.doi.org/10.1007/s00223-023-01121-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516805/
https://www.ncbi.nlm.nih.gov/pubmed/37566229
http://dx.doi.org/10.1007/s00223-023-01121-z

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