G01N2021/5957

METHODS FOR DETERMINING PARTICLE POSITIONAL INFORMATION IN A FLOW CYTOMETER CORE STREAM AND SYSTEMS FOR SAME
20240044769 · 2024-02-08 ·

Aspects of the present disclosure include methods for determining position information for particles in a flow stream of a flow cytometer. Methods according to certain embodiments include propagating a composition having particles through a flow stream that includes a core stream and a sheath flow stream, irradiating the particles of the composition with a light source, detecting light from the irradiated particles, determining light emission from the irradiated particles of the composition and determining the position of the irradiated particles in the core stream of the flow stream based on the detected light emission. In embodiments, particles are stably associated with (e.g., are covalently bonded to) an irradiation power density-sensitive compound that emits light having an intensity that depends on irradiation power density of the light source incident on the particle. Systems (e.g., flow cytometers) for practicing the subject methods are also described. Non-transitory computer readable storage medium is also provided.

Smart anti-counterfeiting optical system (SACOS) for the detection of fraud using advanced spectroscopy-based technique

The SACOS apparatus solves counterfeiting issues instantaneously and develops new security features in order to improve the role that international regulatory commissions, governments, and central banks play to effectively fight counterfeiting.

Apparatus and method for analyzing a bodily sample

Apparatus and methods are described including successively acquiring a plurality of microscopic images of a portion of a blood sample, and tracking motion of pixels within the successively acquired microscopic images. Trypomastigote parasite candidates within the blood sample are identified, by identifying pixel motion that is typical of trypomastigote parasites. It is determined that the blood sample is infected with trypomastigote parasites, at least partially in response thereto. An output is generated indicating that that the blood sample is infected with trypomastigote parasites. Other applications are also described.

Microspectroscope

To provide a microspectroscope that can perform a wide range mapping measurement with high sensitivity, at high speed, and with high wavelength resolution. The Raman spectroscope comprises: a unit for linearly irradiating excitation light; a movable stage for a sample; an objective lens for focusing Raman light from the linear irradiation region; an incident slit provided at the imaging position of Raman light; a spectrometer for diffusing the passing light; a CCD detector for detecting Raman spectral image; and a control device for controlling the mapping measurement by synchronizing the movable stage and the CCD detector. The control device controls the movable stage to move in the direction orthogonal to the longitudinal direction of the linear irradiation light and obtain one average spectrum. At the same time, the control device is configured to perform the cycle of the CCD detector while the stage is moving to obtain one average spectrum of the moving region of the linear irradiation region in one light detection cycle.

Method and device for analysing a sample, implementing a resonant support

A method for analysing a sample uses a resonant support having a surface on which a plurality of separated photonic crystals extends. At least two crystals are configured to capture the same analyte. A resonance wavelength associated with each crystal varies with an amount of analyte in contact with the crystal. The wavelengths define a resonance spectral band between 200-1500 nm. The transmission/reflection of the light is maximum at an associated resonance wavelength. The method includes: illuminating the support in the resonance spectral band, the intensity of the lamination being variable in band; acquiring a measurement image using an image sensor, the image having different regions-of-interest each optically coupled to a photonic crystal; using a reference image representative of an image acquired by the image sensor, when the support is illuminated in the resonance spectral band in a reference configuration; and comparing the measurement image with the reference image.

Fluid analysis using digital imagery

A system for analyzing fluid includes a housing having first and second opposing surfaces spaced to form a fluid chamber, a light source disposed to direct light at the first surface of the housing; and a digital imaging circuit disposed to detect light at the second surface of the housing. The digital imaging circuit includes a pixel array configured to capture one or more digital images of an illuminated fluid. The system also includes a processor configured to: capture multiple digital images of the fluid at different camera exposure levels, calculate a net radiant energy value at a plurality of different integration times within at least two images, calculate a slope of the net radiant energy value with respect to integration time in a selected image, and determine size distribution and volume fraction of particles within the fluid based on the calculated slope.

DETECTION APPARATUS, METHOD AND SYSTEM
20180306705 · 2018-10-25 ·

A detection apparatus, a detection method and a detection system are provided. The detection apparatus includes: a light source module used to provide illumination for color filters; an image obtaining module used to obtain image data of the color filters; a light adjusting module disposed at a light-emitting side of the light source module and used to adjust a light direction of the light source module to make the light direction coincide with an orientation of the pixel units on a first direction or a second direction perpendicular to the first direction; a data processing module connected to the image obtaining module and used to perform a processing on the image data and judge whether there is an unqualified pixel unit in the pixel units as per a result of the processing. The light direction is adjustable to coincide with the orientation of pixel units.

Universal metrology model

A metrology system may arrange metrology measurements for a plurality of metrology targets distributed in a plurality of fields on one or samples into a signal vector, where the metrology measurements associated with the metrology targets in each of the plurality of fields are grouped within the signal vector. The system may further decompose the signal vector into reconstruction vectors associated with different spectral components of the signal vector. The system may further classify a subset of the reconstruction vectors as components of a metrology model, where a sum of the components corresponds to a metrology model describing the metrology measurements on the one or more samples. The system may further generate control signals to control one or more processing tools based on the metrology model.

APPARATUS AND METHOD FOR ANALYZING A BODILY SAMPLE

Apparatus and methods are described including a digital camera, and a computer processor configured to drive the digital camera to acquire, for each of a plurality of imaging fields of a stained bodily sample, three or more digital images. At least one of the images is a brightfield image and at least two of the images are fluorescent images, each of the fluorescent images being acquired using respective first and second filters, which are different from each other. The computer processor performs image processing on the digital images, by extracting visual classification features from each of the three or more digital images, and identifies one or more entities that are contained within the bodily sample, based upon the image processing. Other applications are also described.

Fuel Compatibility and Stability Analyzer
20180156771 · 2018-06-07 ·

Fuel sampling systems are disclosed. In one embodiment, a fuel sampling system includes an optical capture device and an analysis computing device that stores logic for implementing an evaluation sequence. During the evaluation sequence, the analysis computing device performs at least the following: receive a captured image from the optical capture device, identify areas of highest contrast in the captured image, and determine if the areas of highest contrast define a ring. If the areas of highest contrast define a ring, evaluate a contrast ratio between the ring and areas outside of the ring, and determine if the captured image reflects a fuel sample that exceeds a predetermined limit of propensity for settling. If so, indicate that the captured image reflects a fuel sample that is not acceptable. Otherwise, indicate that the captured image reflects a fuel sample that is acceptable.