AFM imaging with metrology-preserving real time denoising

US11796565B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11796565-B2
Application numberUS-202117226970-A
CountryUS
Kind codeB2
Filing dateApr 9, 2021
Priority dateApr 9, 2021
Publication dateOct 24, 2023
Grant dateOct 24, 2023

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Abstract

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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.

First claim

Opening claim text (preview).

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.

Assignees

Inventors

Classifications

  • G01Q30/06Primary

    for error compensation · CPC title

  • AFM [Atomic Force Microscopy] or apparatus therefor, e.g. AFM probes · CPC title

  • Physics · mapped topic

  • using local operators · CPC title

  • using two or more images, e.g. averaging or subtraction · CPC title

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What does patent US11796565B2 cover?
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.
Who is the assignee on this patent?
Bruker Nano Inc
What technology area does this patent fall under?
Primary CPC classification G01Q30/06. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 24 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).