Real Time Detection of Loss of Cantilever Sensing Loss
AssigneeIowa State Research Foundation, Inc.
InventorsMurti Salapaka, Tathagata De, Pranav Agarwal, Deepak Sahoo
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Abstract
An approach to detect when a cantilever loses interaction with a sample, thereby detecting when a portion of an image obtained using a cantilever is spurious is presented. An observer based estimation of cantilever deflection is compared to the cantilever deflection and the resulting innovation is used to detect when the cantilever loses interaction. The loss of interaction is determined when the innovation is outside of and/or below a threshold level.
Claims19
A method to detect when a cantilever loses interaction with a sample comprising the steps of:
- receiving a dither forcing input signal and cantilever deflection data;
- generating an estimated deflection of the cantilever using the dither forcing input signal;
- generating an innovation between the cantilever deflection data and the estimated deflection;
- and
- detecting when the cantilever loses interaction with the sample based upon the innovation.
A method of detecting when a cantilever loses interaction with a sample in a sampling system, the method comprising the steps of:
- receiving, by an observer, a dither forcing input signal and cantilever deflection data;
- generating, by the observer, an estimated deflection of the cantilever using the dither forcing input signal;
- generating an innovation between the cantilever deflection data and the estimated deflection;
- and
- detecting when the cantilever oses interaction with the sample based upon the innovation.
A method to detect when a portion of an image obtained using a cantilever is spurious, the method comprising the steps of:
- receiving a dither forcing input signal and cantilever deflection data;
- generating an estimated deflection of the cantilever using the dither forcing input signal;
- generating an innovation between the cantilever deflection data and the estimated deflection;
- detecting when image is spurious by detecting when the innovation is outside of a threshold level.
Dependencies are inferred from the claim text.