Abstract: A method for identification of amino acid residues in a fluid sample (9) is disclosed. The method comprises producing (100) a light signal from a laser (1) and illuminating (120) the fluid sample (9) with the light signal through a lens in a sensing probe (8). A light signal is acquired (130) from the fluid sample (9) and a plurality of features is extracted (140) from the light signal. The extracted plurality of features is compared with a model in a database to determine and quantify the amino acid residues in the fluid sample (9).

Abstract: Disclosed are methods, libraries, and samples for quantifying a target analyte in a laboratory sample including the target analyte. The methods typically include the step of estimating the amount of the target analyte in the laboratory sample from mass spectrometric data including signal intensities for the target analyte and one or more internal standards, where the mass spectrometric data are an output of a mass spectrometric analysis of a target sample produced from the laboratory sample and a predetermined amount of the one or more internal standards. The present disclosure also provides a method for analyte quantification. The method comprises adding one or more calibrators to a sample comprising one or more analytes; applying mass spectrometry (MS) to the sample; and using a trained machine learning model to determine an absolute concentration of the one or more analytes.

Abstract: Disclosed are methods, libraries, and samples for quantifying a target analyte in a laboratory sample including the target analyte. The methods typically include the step of estimating the amount of the target analyte in the laboratory sample from mass spectrometric data including signal intensities for the target analyte and one or more internal standards, where the mass spectrometric data are an output of a mass spectrometric analysis of a target sample produced from the laboratory sample and a predetermined amount of the one or more internal standards. The present disclosure also provides a method for analyte quantification. The method comprises adding one or more calibrators to a sample comprising one or more analytes; applying mass spectrometry (MS) to the sample; and using a trained machine learning model to determine an absolute concentration of the one or more analytes.

Abstract: Disclosed are methods, libraries, and samples for quantifying a target analyte in a laboratory sample including the target analyte. The methods typically include the step of estimating the amount of the target analyte in the laboratory sample from mass spectrometric data including signal intensities for the target analyte and one or more internal standards, where the mass spectrometric data are an output of a mass spectrometric analysis of a target sample produced from the laboratory sample and a predetermined amount of the one or more internal standards. The present disclosure also provides a method for analyte quantification. The method comprises adding one or more calibrators to a sample comprising one or more analytes; applying mass spectrometry (MS) to the sample; and using a trained machine learning model to determine an absolute concentration of the one or more analytes.

Abstract: Disclosed are methods, libraries, and samples for quantifying a target analyte in a laboratory sample including the target analyte. The methods typically include the step of estimating the amount of the target analyte in the laboratory sample from mass spectrometric data including signal intensities for the target analyte and one or more internal standards, where the mass spectrometric data are an output of a mass spectrometric analysis of a target sample produced from the laboratory sample and a predetermined amount of the one or more internal standards. The present disclosure also provides a method for analyte quantification. The method comprises adding one or more calibrators to a sample comprising one or more analytes; applying mass spectrometry (MS) to the sample; and using a trained machine learning model to determine an absolute concentration of the one or more analytes.

Abstract: Systems, methods, and products for self-contained casino gaming haptics are disclosed. For example, one disclosed system for casino gaming haptics includes a touch-sensitive input device configured to sense a contact from a user; an actuator coupled to the touch-sensitive input device, the actuator configured to output a haptic effect to the touch-sensitive input device; and a processor in communication with the touch-sensitive input device and the actuator, the processor configured to: generate a display signal configured to cause an image associated with a casino game to be displayed; receive an input signal from the touch-sensitive input device associated with the contact; determine an interaction between the contact and the image; and generate an actuator signal associated with the interaction, the actuator signal configured to cause the actuator to generate a haptic effect.

Abstract: Systems, methods, and products for self-contained casino gaming haptics are disclosed. For example, one disclosed system for casino gaming haptics includes a touch-sensitive input device configured to sense a contact from a user; an actuator coupled to the touch-sensitive input device, the actuator configured to output a haptic effect to the touch-sensitive input device; and a processor in communication with the touch-sensitive input device and the actuator, the processor configured to: generate a display signal configured to cause an image associated with a casino game to be displayed; receive an input signal from the touch-sensitive input device associated with the contact; determine an interaction between the contact and the image; and generate an actuator signal associated with the interaction, the actuator signal configured to cause the actuator to generate a haptic effect.

Abstract: Systems, methods, and products for self-contained casino gaming haptics are disclosed. For example, one disclosed system for casino gaming haptics includes a touch-sensitive input device configured to sense a contact from a user; an actuator coupled to the touch-sensitive input device, the actuator configured to output a haptic effect to the touch-sensitive input device; and a processor in communication with the touch-sensitive input device and the actuator, the processor configured to: generate a display signal configured to cause an image associated with a casino game to be displayed; receive an input signal from the touch-sensitive input device associated with the contact; determine an interaction between the contact and the image; and generate an actuator signal associated with the interaction, the actuator signal configured to cause the actuator to generate a haptic effect.

Abstract: Systems, methods, and products for self-contained casino gaming haptics are disclosed. For example, one disclosed system for casino gaming haptics includes a touch-sensitive input device configured to sense a contact from a user; an actuator coupled to the touch-sensitive input device, the actuator configured to output a haptic effect to the touch-sensitive input device; and a processor in communication with the touch-sensitive input device and the actuator, the processor configured to: generate a display signal configured to cause an image associated with a casino game to be displayed; receive an input signal from the touch-sensitive input device associated with the contact; determine an interaction between the contact and the image; and generate an actuator signal associated with the interaction, the actuator signal configured to cause the actuator to generate a haptic effect.

Abstract: A signal associated with multiple haptic effects is received, each haptic effect from the multiple haptic effects being associated with a time slot from multiple time slots. Each haptic effect from the multiple haptic effects is associated with an effect slot from multiple effect slots at least partially based on the time slot associated with that haptic effect. An output signal is sent for each effect slot from the multiple effect slots, when the associated haptic effect is scheduled for its time slot.

Abstract: A feedthrough device having a ground wire that is coupled to both a metallic ferrule and to an insulating material and methods of making the device are provided. The ground wire is coupled or brazed between, adjacent to, or otherwise in direct contact with the metallic ferrule and the insulating material, for example, in a gap between the insulating material and the ferrule, or directly to the side of the insulating material and abutting the surface of the ferrule. If the ground wire is coupled or brazed in a gap, the gap may be formed by a notch in either the insulating material, the ferrule or both.