Načítá se...
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...
Uloženo v:
| Vydáno v: | BMC Bioinformatics |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2019
|
| Témata: | |
| On-line přístup: | 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 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|