A glue overflow detection system and method, includes a camera module and a processor. The camera module is configured to capture an image which includes a blue chromaticity image and a red chromaticity image. The processor obtains a chromatic-aberration difference image according to the blue chromaticity image and the red chromaticity image. The processor obtains a block feature image according to the chromatic-aberration difference image. The processor obtains a longitudinal inter-block difference image and a transverse inter-block difference image according to the block feature image. The longitudinal inter-block difference image includes a plurality of longitudinal block difference blocks each of which has a longitudinal difference value. The transverse inter-block difference image includes a plurality of transverse block difference blocks each of which has a transverse difference vale. The processor determines that a glue overflow image exists in the image according to the longitudinal difference values and the transverse difference values.

Mining shovel with compositional multispectral and/or hyperspectral imaging and associated methods and systems are disclosed herein. In some embodiments, a mining detection system includes a mining bucket carrying a multispectral and/or hyperspectral imaging system and various sensors directed toward material entering and positioned within the bucket. The bucket can also carry a control enclosure housing image and sensor processing equipment that receives and analyzes the data collected by the multispectral and/or hyperspectral imaging system and the sensors. The disclosed systems and methods can provide real-time compositional analysis of mined materials at the mining site, which can be used to manage a mining field, including generating and transmitting instructions for where the material within the bucket should be delivered based on the data collected from the multispectral and/or hyperspectral imaging system and the sensors.

A model-based method for quantifying a specimen. The method includes providing a specimen, capturing images of the specimen while illuminated by multiple spectra at different nominal wavelengths, and exposures, and classifying the specimen into various class types comprising one or more of serum or plasma portion, settled blood portion, gel separator (if used), air, tube, label, or cap; and quantifying of the specimen. Quantifying includes determining one or more of: a location of a liquid-air interface, a location of a serum-blood interface, a location of a serum-gel interface, a location of a blood-gel interface, a volume and/or a depth of the serum or plasma portion, or a volume and/or a depth of the settled blood portion. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.

A combination imaging system includes a housing having a base and a lid, the lid having a closed position against the base and having an open position. The imaging device further includes a contact area image sensor. The lid shields the contact area image sensor from ambient light when the lid is in the closed position. The imaging device also includes a camera. The camera includes a lens, and the field of view of the camera encompasses at least a portion of an imaging area of the contact area image sensor when the lid is in the open position. The device may be especially useful for capturing a chemiluminescent image of an electrophoretic assay result, and capturing a colorimetric image of the same result, so that non-chemiluminescent protein standards may be located with respect to chemiluminescent analytes of interest.

In embodiments, a uniaxial optical multi-measurement sensor comprises a sensor housing having a center axis and a cylindrical surface and an array of electrically coupled light-sensitive pixel elements attached to the cylindrical surface. Each pixel element is positioned having its light-sensitive side facing towards the center axis. In this embodiment, a conical light redistribution optic is positioned along the center axis to direct or reimage uncollimated light entering the sensor housing onto the pixel elements. Also, in this embodiment, the pixel elements are positioned relative to the light redistribution optic to measure or image two or more properties of the uncollimated light entering the sensor housing of a single scene and from a single viewpoint.

A laminated fluorescent sensor includes a sealable sensor housing and an optical sensing system embedded inside the sealable sensor housing. The optical sensing system includes a light source (7), a short wave pass filter (8), an air chamber (10), a sensing unit, a long wave pass filter set (12) and an optical signal collecting unit from top to bottom all of which are coaxially set. The optical signal collecting unit is connected with a signal processing system (14); the sealable sensor housing has air inlets (2, 201) and an air pumping port (3), the air inlets (2, 201) are communicated with the air chamber (10) through an air intake passage, the air chamber (10) is communicated with the air pumping port (3) through an air pumping passage.

In the detection of the presence of a biomarker or the like in a sample of a flowable substance, e.g. a powder or a liquid, usually a body fluid, such as blood, urine, or saliva, for example, a disposable sample receiver (3) is used, which has a receiving chamber (301) that is dimensioned to receive a predetermined volume and is surrounded by a depression (303) receiving any excess volume for which there is no room in the receiving chamber (301). The receiving chamber (301) has a bottom outlet (302) closed by a removable strip (33), e.g. a plastic strip or foil. Upon pulling away the strip (33) from the bottom outlet, the sample in the receiving chamber is emptied into a flow path (32) leading to at least one detection compartment (321) permitting direct visual inspection. Preferably, disposable sample receiver (3) is used in a detector assembly (1) including an electronic camera (23), a CPU (26) and a display (22). Hereby, the volume of the sample to be analyzed will always be the same, and by controlling the exact point of time when the sample is passed on into the flow path (32), a high degree of repeatability and accuracy is achieved, and thereby also a fail-safe system.

The estimator learning device contains an image acquisition unit that acquires stained images provided by photographing respectively in a plurality of wavebands a biomaterial sample that has been stained with a prescribed staining solution; a cell nucleus extraction unit that extracts a cell nucleus region present in the biomaterial sample in each of the stained images; a color information acquisition unit that calculates, for each of the stained images, an absorbance in each of the wavebands in the cell nucleus region; and an estimator learning unit that, based on a relationship between the absorbance in each of the wavebands and information associated with the biomaterial sample and relating to whether the cell nucleus present in the biomaterial sample is in a prescribed state, trains an estimator that estimates whether the cell nucleus is in the prescribed state from the absorbance in each of the wavebands.

Methods of measuring attributes of animal urine, using a test pad comprising multiple test patches and urine detection patches in a BAYER pattern is described. The pad comprises different test patches, each surrounded by urine detection patches. When a camera, electronics and software automatically detect fresh urine from a color change of a detection patch, nearby test patches are read with a color camera, after a specific time delay, and compared to color reference spots. Multiple layers and isolation zones in the test pad allow urine to enter the test and detection patches, while keeping urine puddles from spreading. Once used, detection and test patches are not used again. An array of many detection and test patches allows the test pad to be used for multiple urine samples in one vivarium cage before replacing. Embodiments use a mix of IR and white light, and IR cameras and color cameras.

Provided are microfluidic systems and methods for detecting, sorting, and dispensing of low abundance events such as single cells and particles, including a variety of eukaryotic and bacterial cells, for a variety of bioassay applications. The systems and methods described herein, when implemented in whole or in part, will make relevant microfluidic based tools available for a variety of applications in biotechnology including antibody discovery, immuno-therapeutic discovery, high-throughput single cell analysis, target-specific compound screening, and synthetic biology screening.