A method for conducting a urinalysis is provided. The method includes receiving an image of a urine strip having a plurality of reacting areas configured to react with a predetermined urine parameter, and a plurality of reference regions each having a designated color; extracting, from each reference region, reference values representative of a detected color in the reference region; extracting, from each reacting area, color values representative of a detected color of the reacting area; conducting a regression analysis by determining least-squares of the reference values in accordance with prestored set of values corresponding to expected colors of each reference region; determining a color correction model by calculating root polynomial expansion of the least-squares; applying the color correction model on the color values by calculating root polynomial expansion of the color values to obtain normalized values; and determine level of the urine parameters in accordance with normalized values.

According to exemplary embodiments of the present disclosure, it is possible to provide method, system, arrangement, computer-accessible medium and device to stimulate individual neurons in brain slices in any arbitrary spatio-temporal pattern, using two-photon uncaging of photo-sensitive compounds such as MNI-glutamate and/or RuBi-Glutamate with beam multiplexing. Such exemplary method and device can have single-cell and three-dimensional precision. For example, by sequentially stimulating up to a thousand potential presynaptic neurons, it is possible to generate detailed functional maps of inputs to a cell. In addition, it is possible to combine this exemplary approach with two-photon calcium imaging in an all-optical method to image and manipulate circuit activity. Further exemplary embodiments of the present disclosure can include a light-weight, compact portable device providing for uses in a wide variety of applications.

A photonic gas sensor and a method for producing a photonic gas sensor are disclosed. In an embodiment a photonic gas sensor includes a component housing with at least one cavity, a radiation-emitting semiconductor chip arranged in the cavity and configured to transmit electromagnetic radiation in a first wavelength range, a radiation-detecting semiconductor chip arranged in the cavity and configured to detect electromagnetic radiation in a second wavelength range and an active sensor element having a fluorescent dye configured to emit electromagnetic radiation in the second wavelength range upon being excited by electromagnetic radiation in the first wavelength range, wherein an intensity of the emitted electromagnetic radiation in the second wavelength range changes reversibly in presence of a gas to be detected.

A Raman sensor includes a light source assembly having a plurality of light sources configured to emit light to a plurality of skin points of skin, each of the plurality of skin points having a predetermined separation distance from a light collection region of the skin from which Raman scattered light is collected; a light collector configured to collect the Raman scattered light from the light collection region of the skin; and a detector configured to detect the collected Raman scattered light.

A breath analyte capture device includes a breath input port into which a user exhales a breath sample, and a cartridge insertion port for receiving a disposable cartridge containing an interactant. During exhalation of a breath sample, at least a portion of the breath sample is routed through the cartridge such that the analyte (such as breath acetone) is captured by the interactant. In some embodiments, the concentration of the analyte in the breath sample is measured by monitoring a chemical reaction that occurs in the disposable cartridge. The chemical reaction may be monitored by illuminating the cartridge at each of multiple light wavelengths while measuring reflected light.

Device for detecting reactive luminescent particles embedded in a substrate or surface having an infrared or ultraviolet illuminator; a near-infrared photodiode sensor; a dark chamber, inside which the illuminator and photodiode sensor are mounted; a logarithm amplifier; an electronic data processor configured to detect the reactive luminescent particles by carrying out the steps of: illuminating the substrate or surface with the illuminator; acquiring the amplified linearized signal captured by the photodiode sensor; detecting the presence of luminescent particles in the substrate or surface from the linearized decay of the acquired signal. A further near-infrared photodiode sensor, a further logarithm amplifier, and a differentiator for obtaining a difference between amplified signals received by each photodiode sensor can be utilized.

Aspects relate to an optical fluid analyzer including a fluid cell configured to receive a sample fluid. The optical fluid analyzer further includes optical elements configured to seal the fluid cell on opposing sides thereof and to allow input light from a light source to be sent through the fluid cell and output light from the fluid cell to be input to a spectrometer. The optical fluid analyzer further includes a machine learning (ML) engine, such as an artificial intelligence (AI) engine, that is configured to generate a result defining at least one parameter of the fluid based on a spectrum produced by the spectrometer.

Aspects relate to mechanisms for mass screening of samples. A portable laboratory device based on spectroscopic analysis of samples containing analytes under test can facilitate the mass screening. The portable laboratory device can include a sample head including a structure configured to facilitate application of the sample to the sample head and an optical measurement device including one or more light sources and a spectrometer. Light from the light source(s) incident on the sample may be directed to the spectrometer to obtain a spectrum of the sample. The optical measurement device can further include a data transfer device configured to provide the spectrum obtained by the spectrometer to a spectrum analyzer to produce a result from the spectrum.

Improved sub-assemblies and methods of control for use in a diagnostic assay system adapted to receive an assay cartridge are provided herein. Such sub-assemblies include: a brushless DC motor, a door opening/closing mechanism and cartridge loading mechanism, a syringe and valve drive mechanism assembly, a sonication horn, a thermal control device and optical detection/excitation device. Such systems can further include a communications unit configured to wirelessly communicate with a mobile device of a user so as to receive a user input relating to functionality of the system with respect to an assay cartridge received therein and relaying a diagnostic result relating to the assay cartridge to the mobile device.

Device and methods for detection and classification of pathogens have an imaging module, an image processing module, and a display module. The imaging module has a plurality of light sources to expose a sample to excitation radiation at various wavelengths. A detector in the imaging module synchronously captures time-resolved fluorescence emission spectra, time-resolved reflectance, and transmittance spectra at multiple spectral bands from the sample. The image processing module resolves the spectra and compares obtained spectral parameters to set of standard parameters provided in a library database to determine a match to detect and classify pathogens.