Improved accuracy and speed in scanning probe microscopy by image reconstruction from non-gridded position sensor data
Creators
- 1. Lawrence Berkeley National Laboratory, Molecular Foundry, 1 Cyclotron Road, 94720 Berkeley, CA (United States)
- 2. Department of Mathematics, University of California Los Angeles, 520 Portola Plaza, Los Angeles, CA 90095-1555 (United States)
- 3. Department of Mathematics and Statistics, California State University, Long Beach, 1250 Bellflower Boulevard, Long Beach, CA, 90840-1001 (United States)
- 4. Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, D-48149 Münster (Germany)
Description
Scanning probe microscopy (SPM) has facilitated many scientific discoveries utilizing its strengths of spatial resolution, non-destructive characterization and realistic in situ environments. However, accurate spatial data are required for quantitative applications but this is challenging for SPM especially when imaging at higher frame rates. We present a new operation mode for scanning probe microscopy that uses advanced image processing techniques to render accurate images based on position sensor data. This technique, which we call sensor inpainting, frees the scanner to no longer be at a specific location at a given time. This drastically reduces the engineering effort of position control and enables the use of scan waveforms that are better suited for the high inertia nanopositioners of SPM. While in raster scanning, typically only trace or retrace images are used for display, in Archimedean spiral scans 100% of the data can be displayed and at least a two-fold increase in temporal or spatial resolution is achieved. In the new mode, the grid size of the final generated image is an independent variable. Inpainting to a few times more pixels than the samples creates images that more accurately represent the ground truth. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/0957-4484/24/33/335703Additional details
Identifiers
Publishing Information
- Journal Title
- Nanotechnology (Print)
- Journal Volume
- 24
- Journal Issue
- 33
- Journal Page Range
- [7 p.]
- ISSN
- 0957-4484
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44083993
- Subject category
- S77: NANOSCIENCE AND NANOTECHNOLOGY;
- Descriptors DEI
- ACCURACY; ENGINEERING; IMAGE PROCESSING; IMAGES; MICROSCOPY; NANOSTRUCTURES; PROBES; SENSORS; SPATIAL RESOLUTION; WAVE FORMS
- Descriptors DEC
- PROCESSING; RESOLUTION