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

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1471-2105
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data ; volume:20 ; number:1 ; day:10 ; month:9 ; year:2019 ; pages:1-9 ; date:12.2019
BMC bioinformatics ; 20, Heft 1 (10.9.2019), 1-9, 12.2019

Creator
Müller, Paul
Abuhattum, Shada
Möllmert, Stephanie
Ulbricht, Elke
Taubenberger, Anna V.
Guck, Jochen
Contributor
SpringerLink (Online service)

DOI
10.1186/s12859-019-3010-3
URN
urn:nbn:de:101:1-2020012501050630984407
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:49 AM CEST

Data provider

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Associated

  • Müller, Paul
  • Abuhattum, Shada
  • Möllmert, Stephanie
  • Ulbricht, Elke
  • Taubenberger, Anna V.
  • Guck, Jochen
  • SpringerLink (Online service)

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