Disclosed herein are methods and systems for distinguishing a nuisance gas from a target gas or group of target gases, which involve a configuration of a light source (120) and paper tape (110) such that light (112) emitted from the light source (120) can reflect off the paper tape (110). The light (112) can emit in at least three wavelengths selected from red, green, blue, and ultra-violet wavelengths, and pattern recognition can be used to identify and/or distinguish the nuisance gas from the target gas or from the group of target gases.

An optical scanning system adapted to scan a sample on a chip is provided. The optical scanning system includes at least one optical scanning head, at least one scanning light source, a light receiving device and a processor. Each of at least one optical scanning head includes a focusing light source, a first optical guiding structure, and a control unit. The first optical guiding structure is configured to guide the focusing light emitted from the focusing light source to travel to the sample, and the first optical guiding structure is configured to guide the at least one scanning light emitted from the at least one scanning light source to the sample to generate a secondary light. The control unit is configured to control the first optical guiding structure to keep the focusing light and at least one scanning light focusing on a surface of the chip. The light receiving device receives the secondary light and generates a scanning electronic signal. The processor is electrically coupled to the light receiving device to dispose the scanning electronic signal.

An automatic optical inspection system includes a first AOI machine and a second AOI machine, and the second AOI machine is electrically connected to the first AOI machine. The first AOI machine is configured to use a first resolution to inspect an object, so as to detect a possible defective region(s) of the object. The second AOI machine is configured to use a second resolution higher than the first resolution of the first AOI machine to inspect within the possible defective region(s) only, so as to detect whether there is/are any defect(s) within the possible defective region(s) of the object.

A method for determining a property of an object positioned on a photo-sensitive polyimide layer, wherein the photo-sensitive polyimide layer is positioned on a lower layer that is a radiation reflecting layer, the method may include illuminating, by an illumination unit, an area of the photo-sensitive polyimide layer with first ultraviolet radiation; sensing, by a first sensor, a first reflected ultraviolet radiation that was reflected from the area; and determining, by a processor, based at least in part on the first reflected ultraviolet radiation, the property of the object.

An online monitor for trace sodium in high-purity water, and an online monitoring method and device thereof are provided. Under the control of an embedded industrial computer, an injection-calibration system conveys calibrated water samples and to-be-measured water samples to a flame atomization system continuously and stably. The flame atomization system forms a negative pressure field using a high-purity hydrogen-oxygen mixture as carrier gas, draws in the to-be-measured water samples for atomization, mixing and droplet separation, and then ignites a characteristic spectrum which emits sodium at a high-temperature inner cone. A photoelectric sensor system quickly scans the characteristic spectrum of sodium, and outputs a second-order differential modulation sodium spectrum after removing background interferences. A data acquisition system acquires an analog signal of the second-order differential modulation sodium spectrum, converts the analog signal into a digital signal and outputs the digital signal to the embedded industrial computer for real-time monitoring and control.

The portable multimodal optical sensing system is an integrated system/tool for intelligent food safety inspection. The system includes a pair of lasers and corresponding spectrometers working at different wavelengths to enable an operator to obtain high-quality Raman scattering data from both low- and high-fluorescence food samples. By utilizing machine vision and motion control techniques, the system can conduct fully automated spectral data acquisition for randomly scattered samples that are deposited in Petri dishes or placed in customized well plates.

Methods and apparatus of inspection tools for inspecting impurities in vials are provided herein. In some embodiments, an inspection tool for inspecting impurities in vials includes: a table for inspecting a plurality of vials; one or more carts configured to move about the table to place the one or more carts in an inspection position, wherein each of the one or more carts includes a vial holder configured to hold a plurality of vials, and wherein each vial holder is configured to spin the plurality of vials on their own respective axes; and a camera configured to take images of the plurality of vials when the plurality of vials are disposed in the inspection position.

There is provided a data processing apparatus including: a data determination portion that specifies, in each of first and second light intensity distribution data, an analysis range corresponding to a storage area for storing a detection target, the first and second light intensity distribution data being acquired on the basis of light emitted from first and light sources to a detection area; and a mode selection portion that selects an operation mode of the data determination portion. The mode selection portion selects one of a first mode in which the data determination portion specifies the analysis range in each of the first light intensity distribution data and the second light intensity distribution data, and a second mode in which the data determination portion specifies the analysis range in the second light intensity distribution data on the basis of information on the analysis range of the first light intensity distribution data.

An automatic optical inspection system includes a first AOI machine and a second AOI machine, and the second AOI machine is electrically connected to the first AOI machine. The first AOI machine is configured to use a first resolution to inspect an object, so as to detect a possible defective region(s) of the object. The second AOI machine is configured to use a second resolution higher than the first resolution of the first AOI machine to inspect within the possible defective region(s) only, so as to detect whether there is/are any defect(s) within the possible defective region(s) of the object.

The present invention relates to assays, methods, and kits to assess traumatic brain injury (TBI) in a subject. The present invention also relates to ultrasensitive assays for GFAP, tau, CKBB, IL-1?, IL-2, IL-6, IL-10, IL-22, IP-10, TNF?, TSLP, NFL, and/or NFH.