A system with a deformable membrane for speckle mitigation. In some embodiments, the system includes a laser for producing laser light; a photodetector for detecting the laser light after interaction of the laser light with a sample; and a silicon deformable membrane, for modulating the phase of the laser light.

A method for characterizing a state of an end effector of an ultrasonic device is disclosed. The ultrasonic device including an electromechanical ultrasonic system defined by a predetermined resonant frequency. The electromechanical ultrasonic system further including an ultrasonic transducer coupled to an ultrasonic blade. The method including applying, by an energy source, a power level to the ultrasonic transducer; measuring, by a control circuit coupled to a memory, an impedance value of the ultrasonic transducer; comparing, by the control circuit, the impedance value to a reference impedance value stored in the memory; classifying, by the control circuit, the impedance value based on the comparison; characterizing, by the control circuit, the state of the electromechanical ultrasonic system based on the classification of the impedance value; and adjusting, by the control circuit, the power level applied to the ultrasonic transducer based on the characterization of the state of the end effector.

A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

A system and method for determining the pH of tissue in vivo. A Raman spectrometer is used to collect Raman spectra from the target tissue. The Raman spectra are baseline subtracted and assessed to determine the concentration of HPO.sub.4.sup.−2 and H.sub.2PO.sub.4.sup.−1 for the purposes of calculating the pH. The approach was validate in vitro using PBS solutions of known pH. The approach was confirmed in vivo using rat and swine models by probing the immediate vicinity of a contusive spinal cord injury (SCI) in the first minutes and hours after injury. Using a dynamic analysis and the Henderson-Hasselbalch equation, the average of (N=12) noninvasive Raman-based pH measurements of CSF was 7.073±0.156 and at >95% confidence there is no statistically significant difference between the Raman-based and the physically sampled results.

Various surgical systems are disclosed. A surgical system can include a surgical robot and a surgical hub. The surgical robot can include a control unit in signal communication with a control console and a robotic tool. The surgical hub can include a display. The surgical hub can be in signal communication with the control unit. A facility can include a plurality of surgical hubs that communicate data from the surgical robots to a primary server. To alleviate bandwidth competition among the surgical hubs, the surgical hubs can include prioritization protocols for collecting, storing, and/or communicating data to the primary server.

System and computer-implemented method for detecting and categorizing pathologies through an analysis of pulsatile blood flow. The method has a pulsatile blood flow signal of a subject, extracting a set of features from the pulsatile blood flow signal; and categorizing a pathology based on the extracted features. The extracted features may be predetermined features or features learned through a machine learning algorithm. For the categorization, a classification or a regression algorithm may be used to provide an index or a value score as a biomarker. Additional static features of the subject may be used in the categorization.

A method for assessing a cancer status of biological tissue includes the steps of: obtaining a Raman spectrum indicating a Raman spectroscopy response of the biological tissue, the Raman spectrum captured using a fiber-optic probe of a fiber-optic Raman spectroscopy system; inputting the Raman spectrum into a boosted tree classification algorithm of a computer program, and using the boosted tree classification algorithm for comparing, in real-time, the captured Raman spectrum to reference data and assessing the cancer status of the biological tissue based on said comparison, the reference data being previously determined based on a set of reference Raman spectra indicating Raman spectroscopy responses of reference biological tissues wherein each of the reference biological tissues is associated with a known cancer status; and generating a real-time output indicating the assessed cancer status of the biological tissue,

A method for determining sub-diffuse scattering parameters of a material includes illuminating the material with structured light and imaging remission by the material of the structured light. The method further includes determining, from captured remission images, sub-diffuse scattering parameters of the material. A structured-light imaging system for determining sub-diffuse scattering parameters of a material includes a structured-light illuminator, for illuminating the material with structured light of periodic spatial structure, and a camera for capturing images of the remission of the structured light by the material. The structured-light imaging system further includes an analysis module for processing the images to quantitatively determine the sub-diffuse scattering parameters. A software product includes machine-readable instructions for analyzing images of remission of structured light by a material to determine sub-diffuse scattering parameters of the material.

Techniques for acquiring and processing data in combination with a photonic sensor system-on-a-chip (SoC) (1) to provide real-time calibrated concentration levels of an analyte (e.g., a constituent molecule within a biological substance) are described. A raw signal (1300) to be analyzed is collected by the sensor chip (1) via diffuse reflectance or transmittance. Determination of the analyte concentration is based on, in part, Beer-Lambert principles and facilitated by applying (2240) scattering correction to the raw signal (1300) prior to decomposition and analysis thereof.

A radiometric camera having internal black body components and a method for calibrating a radiometric camera having internal black body components. A radiometric camera includes a detector, the detector further including a thermal detector configured to capture thermal images, wherein the thermal detector is pointed in a direction, wherein the radiometric camera is adapted to receive at least one black body element in front of the detector with respect to the direction of the thermal detector, the thermal detector having a plurality of portions including at least one first portion, wherein the at least one black body element affects radiation readings by the at least one first portion of a plurality of portions of the thermal detector when disposed in the radiometric camera.