Methods and systems for subsurface imaging of nanostructures buried inside a plate shaped substrate are provided. An ultrasonic generator at a side face of the substrate is used to couple ultrasound waves (W) into an interior of the substrate. The interior has or forms a waveguide for propagating the ultrasound waves (W) in a direction (X) along a length of the substrate transverse to the side face. The nanostructures are imaged using an AFM tip to measure an effect (E) at the top surface caused by direct or indirect interaction of the ultrasound waves (W) with the buried nanostructures.

An atomic force microscope is provided having a controller configured to store one or more positional parameters output by a sensor assembly when a light spot is located at a first preset position on the surface of the cantilever. The controller is further configured to operate an actuator assembly so as to induce movement of the spot away from the first preset position, to detect said movement of the first spot based on a change in the one or more positional parameters output by the sensor assembly, and to operate an optical assembly in response to the detected movement of the first spot to return the first spot to the first preset position.

An atomic force microscope is provided having a controller configured to store one or more positional parameters output by a sensor assembly when a light spot is located at a first preset position on the surface of the cantilever. The controller is further configured to operate an actuator assembly so as to induce movement of the spot away from the first preset position, to detect said movement of the first spot based on a change in the one or more positional parameters output by the sensor assembly, and to operate an optical assembly in response to the detected movement of the first spot to return the first spot to the first preset position.

All fluids, when placed within a Kukharev region at a moment of gravitational resonance, form vibrations of different frequencies within themselves. If, at the same moments of gravitational resonance, forced oscillations of the same frequency are provided as a treatment on a living organism, a double resonance is formed within the fluid, and a sharp increase in the amplitude of oscillations within the fluid formed as a result of the double resonance in turn causes the destruction of the fluid. The method is determined utilizing Kukharev region data on the particular fluid desired to be destroyed or otherwise removed from the living organism. By further fine-tuning the forced oscillation (i.e., the directed radiation), the natural oscillations of the base fluid can be further adjusted to modify the fluid's properties.

All fluids, when placed within a Kukharev region at a moment of gravitational resonance, form vibrations of different frequencies within themselves. If, at the same moments of gravitational resonance, forced oscillations of the same frequency are provided as a treatment on a living organism, a double resonance is formed within the fluid, and a sharp increase in the amplitude of oscillations within the fluid formed as a result of the double resonance in turn causes the destruction of the fluid. The method is determined utilizing Kukharev region data on the particular fluid desired to be destroyed or otherwise removed from the living organism. By further fine-tuning the forced oscillation (i.e., the directed radiation), the natural oscillations of the base fluid can be further adjusted to modify the fluid's properties.

A method comprises using an atomic-force microscope, acquiring a set of images associated with surfaces, and, using a machine-learning algorithm applied to the images, classifying the surfaces. As a particular example, the classification can be done in a way that relies on surface parameters derived from the images rather than using the images directly.

A method comprises using an atomic-force microscope, acquiring a set of images associated with surfaces, and, using a machine-learning algorithm applied to the images, classifying the surfaces. As a particular example, the classification can be done in a way that relies on surface parameters derived from the images rather than using the images directly.

A method comprises using an atomic-force microscope, acquiring a set of images associated with surfaces, and, using a machine-learning algorithm applied to the images, classifying the surfaces. As a particular example, the classification can be done in a way that relies on surface parameters derived from the images rather than using the images directly.

A method comprises using an atomic-force microscope, acquiring a set of images associated with surfaces, and, using a machine-learning algorithm applied to the images, classifying the surfaces. As a particular example, the classification can be done in a way that relies on surface parameters derived from the images rather than using the images directly.

A debris collection and metrology system for collecting and analyzing debris from a tip used in nanomachining processes, the system including an irradiation source, an irradiation detector, an actuator, and a controller. The irradiation source is operable to direct incident irradiation onto the tip, and the irradiation detector is operable to receive a sample irradiation from the tip, the sample irradiation being generated as a result of the direct incident irradiation being applied onto the tip. The controller is operatively coupled to an actuator system and the irradiation detector, and the controller is operable to receive a first signal based on a first response of the irradiation detector to the sample irradiation, and the controller is operable to effect relative motion between the tip and at least one of the irradiation source and the irradiation detector based on the first signal.