A method for observing a sample (10), the sample lying in a plane of the sample defining radial coordinates, the method comprising the following steps: a) illuminating the sample using a light source (11), able to emit an incident light wave (12) that propagates toward the sample along a propagation axis (Z); b) acquiring, using an image sensor (16), an image (I.sub.0) of the sample (10), said image being formed in a detection plane (P.sub.0), the sample being placed between the light source (11) and the image sensor (16), such that the incident light wave sees an optical path difference, parallel to the propagation axis (Z), by passing through the sample; c) processing the image acquired by the image sensor;
wherein the processing of the acquired image comprises taking into account vectors of parameters, respectively defined at a plurality of radial coordinates, in the plane of the sample, each vector of parameters being associated with one radial coordinate, and comprising a term representative of an optical parameter of the sample, at least one optical parameter being an optical path difference induced by the sample at the radial coordinate, the vectors of parameters describing the sample.

A system and a method for determining one or more distillation temperatures for one or more given distillation weight percentages of a crude oil sample are provided, which can be used to produce a simulated distillation curve. Simulated distillation temperatures of crude oil samples are assigned as a function of density and data derived from direct near infrared spectroscopy measurement of the crude oil samples.

A management method of a lubricating oil of the invention is a method of managing a lubricating oil by determining a degradation degree of the lubricating oil containing an antioxidant, specifically, according to determination methods a and b below. The determination method a includes: measuring an infrared ray absorption spectrum of the lubricating oil using a Fourier transform infrared spectrometer; and calculating a total content of the antioxidant and an altered substance having an antioxidant function to determine a deterioration degree of the lubricating oil from the obtained content. The determination method b includes: filtrating the lubricating oil with a filter; subsequently measuring a color difference of substances captured by the filter using a colorimeter, or measuring a color difference of the lubricating oil using the colorimeter; and determining a degradation degree of the lubricating oil and a mixture degree of foreign substances based on the obtained color difference.

Systems, methods, and modules for detecting a biomarker in a sample are described. A system for detecting presence or absence of a biomarker in a sample includes: a light source for producing electromagnetic radiation for interrogating the sample; a biosensor module including: a waveguide for guiding the electromagnetic radiation, the waveguide exposed to the sample; and a recognition element affixed to the waveguide and configured to bind to the biomarker; a detector for receiving the electromagnetic radiation from the waveguide and detecting a signal corresponding to an interaction of the electromagnetic radiation with the biomarker bound to the recognition element, in accordance with at least one detection modality; and a computing device for analyzing data related to the signal in order to detect presence or absence of the biomarker in the sample.

The present invention generally relates to a wearable electronic device that collects information about test sample using an optical sensor. The wearable device photographs and analyzes one or more organic samples placed on one or more immunoassay regions of a test strip in order to reveal information about the sample. The wearable electronic device may also sequentially photograph a plurality of individual organic samples applied to different immunoassay regions of a test strip.

A method of determining electromagnetic scattering properties of a finite periodic structure has the steps: 1002: Calculating a single-cell contrast current density, within a unit-cell supporting domain of a single one of a finite collection of unit cells. 1004: Calculating a scattered electric field outside the finite collection of unit cells, by integrating, over the single unit cell's supporting domain, a Green's function with the determined single-cell contrast current density. 1006: The Green's function is obtained for observation points outside the finite collection of unit cells by summation across the finite collection of unit cells. The Green's function integrated with the determined single-cell contrast current density is obtained for observation points above the supporting domain with respect to a substrate underlying the finite periodic structure. 1008: Determining an electromagnetic scattering property, for example a diffraction pattern, of the finite periodic structure using the calculated scattered electric field.

Devices and methods for controlling the properties of chemical species during time-dependent processes. A device includes a reactor for containing one or more chemical species of a time-dependent process, an extraction pump for automatically and continuously extracting an amount of the one or more chemical species from the reactor, one or more detectors for measuring property changes of the one or more extracted chemical species and generating a continuous stream of data related to the one or more property changes to the one or more chemical species during a time interval, and a process controller configured to fit the continuous stream of data to a mathematical function to predict one or more properties of the one or more chemical species at a future time point and make one or more process decisions based on the prediction of one or more properties at the future time point.

A solution is proposed for testing a luminescence imaging apparatus (105). A corresponding testing device (110) comprises one or more seats (320) and one or more containers (325), each filled with a liquid comprising at least one luminescence substance and accommodated in a corresponding seat (320); the seats (320) have corresponding windows (330) for imaging the luminescence substance of the containers (325) accommodated therein. The seats (320) are slanted with respect to a resting surface (310) of the testing device (110). A holder (305) for use in the testing device (100) is further provided. A luminescence imaging apparatus (105) for use with the testing device (110) is also proposed. Moreover, a system (100) comprising a luminescence imaging apparatus (105) and this testing device (110) is proposed.

Methods and apparatus for obtaining extremely high sensitivity chemical composition maps with spatial resolution down to a few nanometers. In some embodiments these chemical composition maps are created using a combination of three techniques: (1) Illuminating the sample with IR radiation than is tuned to an absorption band in the sample; and (2) Optimizing a mechanical coupling efficiency that is tuned to a specific target material; (3) Optimizing a resonant detection that is tuned to a specific target material. With the combination of these steps it is possible to obtain (1) Chemical composition maps based on unique IR absorption; (2) spatial resolution that is enhanced by extremely short-range tip-sample interactions; and (3) resonant amplification tuned to a specific target material. In other embodiments it is possible to take advantage of any two of these steps and still achieve a substantial improvement in spatial resolution and/or sensitivity.

A system and method for non-destructive food rapid profiling in terms of taste, variant classification, adulteration, etc., using artificial intelligence. The system includes: a receptacle configured to move a non-homogenized sample in a path to intersect a volumetric sampling space; a sensor configured to sense reflectance from at least a part of the sample in the volumetric sampling space, the sensor being configured to output a component of the reflectance as captured data, the captured data being characterised by an overtone spectrum over a range of wavelengths; and a computing device configured to apply at least one first machine learning model to the captured data to: predict at least one facet corresponding to predictively determined selected wavelengths; and provide a signature data using the at least one facet.