Literature DB >> 25766370

Complete information acquisition in dynamic force microscopy.

Alexei Belianinov1, Sergei V Kalinin1, Stephen Jesse1.   

Abstract

Scanning probe microscopy has emerged as a primary tool for exploring and controlling the nanoworld. A critical part of scanning probe measurements is the information transfer from the tip-surface junction to the measurement system. This process reduces responses at multiple degrees of freedom of the probe to relatively few parameters recorded as images. Similarly, details of dynamic cantilever response at sub-microsecond time scales, higher-order eigenmodes and harmonics are lost by transitioning to the millisecond time scale of pixel acquisition. Hence, information accessible to the operator is severely limited, and its selection is biased by data processing methods. Here we report a fundamentally new approach for dynamic Atomic Force Microscopy imaging based on information-theory analysis of the data stream from the detector. This approach allows full exploration of complex tip-surface interactions, spatial mapping of multidimensional variability of material's properties and their mutual interactions, and imaging at the information channel capacity limit.

Year:  2015        PMID: 25766370     DOI: 10.1038/ncomms7550

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  9 in total

1.  High-speed digitization of the amplitude and frequency in open-loop sideband frequency-modulation Kelvin probe force microscopy.

Authors:  Gheorghe Stan
Journal:  Nanotechnology       Date:  2020-06-09       Impact factor: 3.874

2.  Rapid mapping of polarization switching through complete information acquisition.

Authors:  Suhas Somnath; Alex Belianinov; Sergei V Kalinin; Stephen Jesse
Journal:  Nat Commun       Date:  2016-12-02       Impact factor: 14.919

3.  Data acquisition and imaging using wavelet transform: a new path for high speed transient force microscopy.

Authors:  Amir Farokh Payam; Pardis Biglarbeigi; Alessio Morelli; Patrick Lemoine; James McLaughlin; Dewar Finlay
Journal:  Nanoscale Adv       Date:  2020-09-10

4.  Big Data Analytics for Scanning Transmission Electron Microscopy Ptychography.

Authors:  S Jesse; M Chi; A Belianinov; C Beekman; S V Kalinin; A Y Borisevich; A R Lupini
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

5.  Full data acquisition in Kelvin Probe Force Microscopy: Mapping dynamic electric phenomena in real space.

Authors:  Liam Collins; Alex Belianinov; Suhas Somnath; Nina Balke; Sergei V Kalinin; Stephen Jesse
Journal:  Sci Rep       Date:  2016-08-12       Impact factor: 4.379

Review 6.  Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets.

Authors:  Alex Belianinov; Rama Vasudevan; Evgheni Strelcov; Chad Steed; Sang Mo Yang; Alexander Tselev; Stephen Jesse; Michael Biegalski; Galen Shipman; Christopher Symons; Albina Borisevich; Rick Archibald; Sergei Kalinin
Journal:  Adv Struct Chem Imaging       Date:  2015-05-13

7.  Ultrafast current imaging by Bayesian inversion.

Authors:  S Somnath; K J H Law; A N Morozovska; P Maksymovych; Y Kim; X Lu; M Alexe; R Archibald; S V Kalinin; S Jesse; R K Vasudevan
Journal:  Nat Commun       Date:  2018-02-06       Impact factor: 14.919

8.  Characterizing transition-metal dichalcogenide thin-films using hyperspectral imaging and machine learning.

Authors:  Brian Shevitski; Christopher T Chen; Christoph Kastl; Tevye Kuykendall; Adam Schwartzberg; Shaul Aloni; Alex Zettl
Journal:  Sci Rep       Date:  2020-07-14       Impact factor: 4.996

9.  High-veracity functional imaging in scanning probe microscopy via Graph-Bootstrapping.

Authors:  Xin Li; Liam Collins; Keisuke Miyazawa; Takeshi Fukuma; Stephen Jesse; Sergei V Kalinin
Journal:  Nat Commun       Date:  2018-06-21       Impact factor: 14.919

  9 in total

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