Assays (100) may be performed with a luminometer (400) having a chassis (405) that may include a reaction vessel chamber (610). The luminometer (400) may also include a light passage (640) that intersects the reaction vessel chamber (610). The luminometer (400) may also include a cap (415) that, when in a closed configuration, prevents light emitted by external sources from entering the reaction vessel chamber (610) and from entering the light passage (640). The cap (415) may provide access to the reaction vessel chamber (610) when in an open configuration. The luminometer (400) may also include a calibration light source (460) optically coupled to one end of the light passage (640) and a light detector (630) optically coupled to another end of the light passage (640). The light detector (630) may include a sensing element for receiving light from the light passage (640).

A method of achieving instrument independent measurements for quantitative analysis of fiber-optic Raman spectroscope system, the system comprising a laser source, a spectroscope and a fiber optic probe to transmit light from the laser source to a target and return scattered light to the spectroscope, the method comprising transmitting light from the laser source to a standard target having a known spectrum, recording a calibration spectrum of the scattered light from the standard target, comparing the known spectrum and the calibration system and generating a probe and/or probe-system transfer function, and storing the transfer function. Further provided is a method of performing real-time diagnostic Raman spectroscopy optionally in combination with the other disclosed methods.

A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.

An optical measurement device inputs excitation light to an integrating sphere in which a sample is disposed, irradiates the sample with the excitation light having a predetermined beam cross-section, detects measurement light output from the integrating sphere by a photodetector, and acquires intensity data of the sample. The optical measurement device includes a storage unit in which correction data is stored and an optical characteristic calculation unit for calculating optical characteristics of the sample based on the intensity data of the sample and the correction data. The correction data is calculated based on first corrective intensity data and second corrective intensity data. The predetermined beam cross-section is covered with the first light absorbing member and covers the second light absorbing member.

An automatic analytical apparatus includes a reaction container for mixing a sample with a reagent to react the sample to the reagent, a measurement unit that irradiates a reaction solution in the reaction container with light and measures the intensity of transmitted light or scattered light, a control unit that processes time-series light intensity data obtained through the measurement in the measurement unit, a storage unit that stores one or more approximation functions each approximating to a time-series change in the light intensity data, and an output unit that outputs a processing result of the control unit. The control unit selects any one of the approximation functions stored in the storage unit, calculates an approximate curve indicating a time-series change in the light intensity data using the selected approximation function, calculates deviation feature information based on deviation information between the light intensity data and the approximate curve, and detects and classifies an abnormality included in the light intensity data using the deviation feature information.

An automatic analysis apparatus measures a concentration of an intended component in a biological sample, such as blood or urine, or determines whether such component is contained in the sample or not, and includes a function such that, with respect to the optical system, a part whose lifetime has ended is specified or the degree of deterioration of a part is detected to provide a user with the information. The automatic analyzer has a storage unit for storing a transmitted light distribution for a plurality of wavelengths detected by a receptor element for transmitted light which has passed through a substance to be measured, and a control unit for comparing a first, stored transmitted light distribution with a second transmitted light distribution acquired at the time of measurement to determine a deteriorating part from a plurality of parts based on the result of the comparison and output the result.

An article is presented configured for controlling a multiple patterning process, such as a spacer self-aligned multiple patterning, to produce a target pattern. The article comprises a test site carrying a test structure comprising at least one pair of gratings, wherein first and second gratings of the pair are in the form of first and second patterns of alternating features and spaces and differ from the target pattern by respectively different first and second values which are selected to provide together a total difference such that a differential optical response from the test structure is indicative of a pitch walking effect.

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.

According to one embodiment, an immunoassay system includes a measurement unit, a calculation unit, and a selection unit. The measurement unit measures a measurement target substance contained in a specimen in accordance with a measurement sequence, and acquires a measurement signal reflecting a concentration of the measurement target substance. The calculation unit calculates an index value related to a fluctuation in intensity of the measurement signal during a first period. The selection unit selects a single measurement sequence to be used in processing during or after the first period in accordance with a concentration range corresponding to an index value of the measurement target substance.