A diamond probe is suitable to be attached to an Atomic Force Microscope and is created with a tip that incorporates a one or more Nitrogen Vacancy (NV) centers located near the end of the tip. The probe arm acts as an optical waveguide to propagate the emission from the NV center with high efficiency and a beveled end directs excitation light to the NV center and directs photoluminescence light emanating from the NV center into the probe arm. The light source (or a portion of the light source), a detector, as well as an RF antenna, if used, may be mounted to the probe arm. The probe with integrated components enable excitation of photoluminescence in the NV center as well as optically detected Electron Spin Resonance (ODMR) and temperature measurements, and may further serve as a light probe utilizing the physical effect of Stimulated Emission Depletion (STED).

A diamond probe is suitable to be attached to an Atomic Force Microscope and is created with a tip that incorporates a one or more Nitrogen Vacancy (NV) centers located near the end of the tip. The probe arm acts as an optical waveguide to propagate the emission from the NV center with high efficiency and a beveled end directs excitation light to the NV center and directs photoluminescence light emanating from the NV center into the probe arm. The probe tip is scanned over an area of a sample with an electric charge, such as a field effect transistor or flash memory. Optically Detected Spin Resonance (ODMR) is measured as the probe tip is scanned over the area of the sample, from which a characteristic of the area of the sample with the electric charge may be determined.

A diamond probe is suitable to be attached to an Atomic Force Microscope and is created with a tip that incorporates a one or more Nitrogen Vacancy (NV) centers located near the end of the tip. The probe arm acts as an optical waveguide to propagate the emission from the NV center with high efficiency and a beveled end directs excitation light to the NV center and directs photoluminescence light emanating from the NV center into the probe arm. The probe tip is scanned over an area of a sample with an electric charge, such as a field effect transistor or flash memory. Optically Detected Spin Resonance (ODMR) is measured as the probe tip is scanned over the area of the sample, from which a characteristic of the area of the sample with the electric charge may be determined.

A process of determining the type of a diamond of unknown type, said process including the steps of (i) applying a laser input signal to a diamond of unknown type such the NV.sup.− centres or other C centres such that fluorescence is generated from said diamond; (ii) applying a magnetic field to said diamond and applying a variable microwave frequency to said diamond; (iii) acquiring the light intensity of fluorescence as a function of microwave frequency; and (iv) determining the type of the unknown diamond by comparing the light intensity of fluorescence as a function of microwave frequency of (iii) with light intensity versus microwave frequency characteristics diamond of known of a plurality of diamonds known types.

A process of determining the type of a diamond of unknown type, said process including the steps of (i) applying a laser input signal to a diamond of unknown type such the NV.sup.− centres or other C centres such that fluorescence is generated from said diamond; (ii) applying a magnetic field to said diamond and applying a variable microwave frequency to said diamond; (iii) acquiring the light intensity of fluorescence as a function of microwave frequency; and (iv) determining the type of the unknown diamond by comparing the light intensity of fluorescence as a function of microwave frequency of (iii) with light intensity versus microwave frequency characteristics diamond of known of a plurality of diamonds known types.

A sensing apparatus for detecting and determining the magnitude of a static magnetic field has a first set of coils capable of producing a sweeping, quasi static, magnetic field when driven by a direct current and a second set of coils, for magnetic field modulation, positioned between the first set of coils capable of producing a low-frequency (audio), oscillating magnetic field when driven by an oscillating current. The magnetic fields induce a current through the semiconductor device which sampled to identify changes as a function of sweeping, quasi static magnetic field. To create an apparatus for detecting and identifying atomic scale defects in fully processed devices, a radio frequency circuit with a resonant component is added which provides an oscillating electromagnetic field in a direction perpendicular to that of the static magnetic field produced by the first set of coils.

A sensing apparatus for detecting and determining the magnitude of a static magnetic field has a first set of coils capable of producing a sweeping, quasi static, magnetic field when driven by a direct current and a second set of coils, for magnetic field modulation, positioned between the first set of coils capable of producing a low-frequency (audio), oscillating magnetic field when driven by an oscillating current. The magnetic fields induce a current through the semiconductor device which sampled to identify changes as a function of sweeping, quasi static magnetic field. To create an apparatus for detecting and identifying atomic scale defects in fully processed devices, a radio frequency circuit with a resonant component is added which provides an oscillating electromagnetic field in a direction perpendicular to that of the static magnetic field produced by the first set of coils.

Apparatus and methods for the detection of proteins in biological fluids such as urine using a label-free assay is described. Specific proteins are detected by their binding to highly specific capture reagents such as SOMAmers that are attached to the surface of a substrate. Changes to these capture reagents and their local environment upon protein binding modify the behavior of color centers (e.g., fluorescence, ionization state, spin state, etc.) embedded in the substrate beneath the bound capture reagents. These changes can be read out, for example, optically or electrically, for an individual color center or as an average response of many color centers.

Provided herein are methods for identifying and treating a malignancy in a patient. Aspects of the described methods are performed through use of a computing device. The method comprises receiving at the computing device a plurality of spectra acquired from a corresponding plurality of aliquots containing a biophysiological carrier protein. At least one of a concentration of a spin probe and a concentration of a polar reagent varies between the aliquots. The computing device then determines biophysical parameters based on the received spectra and applies at least parts of the received spectra and the biophysical parameters as an input to a trained logistic regression model. The logistic regression model trained to determine a probability of applied input parameters relating to one or more of a plurality of predetermined diseases and/or disease localisations. The trained model is used to determine a probability of the input parameters relating to one or more of said predetermined diseases and/or disease localisations and outputs a result of the determination, which can be used to determine and then provide proper therapeutic treatments.

Provided herein are methods for identifying and treating a malignancy in a patient. Aspects of the described methods are performed through use of a computing device. The method comprises receiving at the computing device a plurality of spectra acquired from a corresponding plurality of aliquots containing a biophysiological carrier protein. At least one of a concentration of a spin probe and a concentration of a polar reagent varies between the aliquots. The computing device then determines biophysical parameters based on the received spectra and applies at least parts of the received spectra and the biophysical parameters as an input to a trained logistic regression model. The logistic regression model trained to determine a probability of applied input parameters relating to one or more of a plurality of predetermined diseases and/or disease localisations. The trained model is used to determine a probability of the input parameters relating to one or more of said predetermined diseases and/or disease localisations and outputs a result of the determination, which can be used to determine and then provide proper therapeutic treatments.