Essential Image Processing for Magnetic Resonance Force Microscopy
Abstract
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 in order to perform the reconstructions. We find that the algorithm yields excellent results, in particular as regards image accuracy, resolution, and suppression of noise. A specific and robust regimen for performing the reconstructions within the Pixon-method paradigm has been 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 straightforward the application of the algorithm in a real-world instrument. The results also favor adaptation of Pixon- method image reconstruction techniques to three-dimensional imaging with conventional magnetic-force microscopes.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 18, 2003
- Accession Number
- ADA411711
Entities
People
- Timothy R. Gosnell