Supporting Information
Supporting Information features derivations of the mathematical expressions used for the calibration and drift correction, a description of the procedure used to derive correction parameters as well as other technical aspects. Moreover, the gwy files for all shown AFM images and used analysis parameters are included in Supporting Information Files 2–5.
| Supporting Information File 1: Calibration and drift correction procedures | ||
| Format: PDF | Size: 21.3 MB | Download |
| Supporting Information File 2: Experimental data shown in Figure 2. | ||
| Format: ZIP | Size: 10.2 MB | Download |
| Supporting Information File 3: Experimental data shown in Figure 3. | ||
| Format: ZIP | Size: 6.8 MB | Download |
| Supporting Information File 4: Experimental data shown in Figure 4. | ||
| Format: ZIP | Size: 24.7 MB | Download |
| Supporting Information File 5: Experimental data shown in Figure 5. | ||
| Format: ZIP | Size: 28.7 MB | Download |
Cite the Following Article
unDrift: A versatile software for fast offline SPM image drift correction
Tobias Dickbreder, Franziska Sabath, Lukas Höltkemeier, Ralf Bechstein and Angelika Kühnle
Beilstein J. Nanotechnol. 2023, 14, 1225–1237.
https://doi.org/10.3762/bjnano.14.101
How to Cite
Dickbreder, T.; Sabath, F.; Höltkemeier, L.; Bechstein, R.; Kühnle, A. Beilstein J. Nanotechnol. 2023, 14, 1225–1237. doi:10.3762/bjnano.14.101
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- Dickbreder, T.; Sabath, F.; Höltkemeier, L.; Bechstein, R.; Kühnle, A. unDrift: A versatile software for fast offline SPM image drift correction. Beilstein journal of nanotechnology 2023, 14, 1225–1237. doi:10.3762/bjnano.14.101
