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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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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6734308/ https://ncbi.nlm.nih.gov/pubmed/31500563 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3010-3 |
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