M P Nikiforov et al 2009 Nanotechnology 20 405708 doi:10.1088/0957-4484/20/40/405708
M P Nikiforov1, V V Reukov2, G L Thompson2, A A Vertegel2, S Guo1, S V Kalinin1 and S Jesse1
Show affiliationsFunctional recognition imaging in scanning probe microscopy (SPM) using artificial neural network identification is demonstrated. This approach utilizes statistical analysis of complex SPM responses at a single spatial location to identify the target behavior, which is reminiscent of associative thinking in the human brain, obviating the need for analytical models. We demonstrate, as an example of recognition imaging, rapid identification of cellular organisms using the difference in electromechanical activity over a broad frequency range. Single-pixel identification of model Micrococcus lysodeikticus and Pseudomonas fluorescens bacteria is achieved, demonstrating the viability of the method.
Issue 40 (7 October 2009)
Received 22 June 2009, in final form 6 August 2009
Published 14 September 2009
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