Apparatus, method, and system for alignment of 3d datasets
US-2020043186-A1 · Feb 6, 2020 · US
US11796565B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11796565-B2 |
| Application number | US-202117226970-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 9, 2021 |
| Priority date | Apr 9, 2021 |
| Publication date | Oct 24, 2023 |
| Grant date | Oct 24, 2023 |
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A method of operating an atomic force microscope (AFM), using a denoising algorithm, real-time, during AFM data acquisition. Total Variation and Non-Local Means denoising are preferred. Real time images with minimized sensor noise needing no post-image acquisition processing to account for noise as described herein results.
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We claim: 1. A method of atomic force microscopy (AFM), the method comprising: engaging a probe of the AFM with a surface of a sample; oscillating the probe in a mode of AFM operation; measuring system noise to generate a noise image; providing relative scanning motion between the probe and sample; measuring the deflection of the probe in response to the providing step and controlling the probe-sample separation according to the mode of AFM operation for a selected number of scan lines to generate a sample image for the selected number of scan lines; denoising the sample image in real time using the system noise; measuring the deflection for the next line of the scanning motion to generate a new sample image; and denoising the new sample image in real time using the system noise. 2. The method of claim 1 , wherein the selected number is at least two. 3. The method of claim 2 , wherein the selected number is at least five, and the denoised sample image line is of the middle of the selected number. 4. The method of claim 3 , wherein the denoising step includes using a Non-local Means (NLM) denoising algorithm. 5. The method of claim 1 , wherein the denoising step includes using a Total Variation (TV) denoising algorithm. 6. The method of claim 1 , wherein the scanning motion is a raster scan. 7. The method of claim 1 , further comprising repeating all the steps after and including the denoising step until a region of interest of the sample is imaged. 8. The method of claim 1 , wherein the mode is one of peak force tapping (PFT) mode, contact mode and tapping mode. 9. The method of claim 1 , further comprising applying one of a low-pass kernel and a deconvolution kernel to the denoised image. 10. An atomic force microscope (AFM) comprising: a scanner that provides relative scanning motion between a probe of the AFM and a sample; a detector that measures the deflection of the probe in response to probe-sample interaction during AFM operation, the deflection being indicative of a sample property and stored as an image; and a controller that implements a denoising algorithm to denoise the image of a selected number of scan lines in real time during AFM operation. 11. The AFM of claim 10 , wherein the selected number is at least two scan lines. 12. The AFM of claim 11 , wherein the selected number is at least five scan lines and the denoised image is the middle of the at least five scan lines. 13. The AFM of claim 10 , wherein the denoising algorithm is one of Total Variation (TV) denoising, and Non-local Means (NLM) denoising. 14. The AFM of claim 10 , wherein the controller implements one of a low-pass Kernel and a deconvolution kernel to the denoised image to minimize an affect of an offset between a trace and re-trace AFM imaging operation. 15. The method of claim 12 , wherein the AFM is operated in one of peak force tapping (PFT) mode, contact mode and tapping mode.
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