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

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

Abstract 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 b...

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Bibliographic Details
Main Authors: Paul Müller, Shada Abuhattum, Stephanie Möllmert, Elke Ulbricht, Anna V. Taubenberger, Jochen Guck
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Atomic force microscopy
Elasticity
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Online Access:http://link.springer.com/article/10.1186/s12859-019-3010-3

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http://link.springer.com/article/10.1186/s12859-019-3010-3

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