nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data

BACKGROUND: Atomic force microscopy (AFM) allows the mechanical characterization of single cells and live tissue by quantifying force-distance (FD) data in nano-indentation experiments. One of the main problems when dealing with biological tissue is the fact that the measured FD curves can be distur...

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Detalles Bibliográficos
Autores principales: Müller, Paul, Abuhattum, Shada, Möllmert, Stephanie, Ulbricht, Elke, Taubenberger, Anna V., Guck, Jochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734308/
https://www.ncbi.nlm.nih.gov/pubmed/31500563
http://dx.doi.org/10.1186/s12859-019-3010-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734308/
https://www.ncbi.nlm.nih.gov/pubmed/31500563
http://dx.doi.org/10.1186/s12859-019-3010-3

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