Essential Image Processing for Magnetic-Resonance Force Microscopy
PIXON LLC SETAUKET NY
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This report covers work performed on two-dimensional and three-dimensional reconstruction of magnetic images derived from synthetic data sets of a model magnetic-resonance force microscope. Specifically, Pixon LLC has employed its proprietary Pixon-method image reconstruction algorithm to perform the reconstructions. The authors find that the algorithm yields excellent results, particularly with regard to image accuracy, resolution, and suppression of noise. A specific and robust regimen for performing the reconstructions within the Pixon-method paradigm was developed. The regimen is robust against varying signal-to-noise ratio and varying tip-to-sample separation in the MRFM instrument model. Moreover, a data-capture scanning strategy has been discovered that optimizes performance of the reconstruction resolution and sensitivity while simultaneously minimizing the data acquisition time. These results should make the application of the algorithm in a real-world instrument straightforward. The results also favor adaptation of Pixon-method image reconstruction techniques to three-dimensional imaging with conventional magnetic-force microscopes.
- Electricity and Magnetism
- Nuclear Physics and Elementary Particle Physics