Methods for characterizing spillover spreading originating from a first fluorochrome in fluorescent flow cytometer data collected for a second fluorochrome are provided. In some embodiments, methods include partitioning the fluorescent flow cytometer data according to the intensity of the data relative to the first fluorochrome. In embodiments, methods also include estimating with a first linear regression a zero-adjusted standard deviation for the intensity of light collected from the second fluorochrome for each of the partitioned quantiles based on the assumption that the intensity of light collected from the first fluorochrome is zero, and obtaining with a second linear regression a spillover spreading coefficient from the zero-adjusted standard deviations. Systems and computer-readable media for characterizing spillover spreading originating from a first fluorochrome in fluorescent flow cytometer data collected for a second fluorochrome are also provided.

Methods for characterizing spillover spreading originating from a first fluorochrome in fluorescent flow cytometer data collected for a second fluorochrome are provided. In some embodiments, methods include partitioning the fluorescent flow cytometer data according to the intensity of the data relative to the first fluorochrome. In embodiments, methods also include estimating with a first linear regression a zero-adjusted standard deviation for the intensity of light collected from the second fluorochrome for each of the partitioned quantiles based on the assumption that the intensity of light collected from the first fluorochrome is zero, and obtaining with a second linear regression a spillover spreading coefficient from the zero-adjusted standard deviations. Systems and computer-readable media for characterizing spillover spreading originating from a first fluorochrome in fluorescent flow cytometer data collected for a second fluorochrome are also provided.

An apparatus for creating and correcting a two dimensional intensity map of one or more assay spots in a detection zone is provided. The apparatus comprising, a locator for affirming the location of the detection zone; a total internal reflection excitation device comprising a light source for illuminating the one or more assay spots in the detection zone; a detector configured to receive light that is emitted, reflected or scattered from the one or more assay spots and to create a two dimensional intensity map of the one or more assay spots comprising a two dimensional array of quantitative pixel values; and a processor configured to correct the intensity map to remove noise through analysis of corresponding pixel values from an earlier intensity map; wherein the analysis includes curve fitting.

An optical environment oscillation detection system and an optical measurement method using the same are provided. This system includes a laser light source, a polarizer, a liquid crystal (LC) element, an analyzer, and an optical sensor arranged in sequence. A polarization axis of the polarizer and that of the analyzer are respectively parallel to a first and a second axis direction being perpendicular to each other. When there is no environmental disturbance, the alignment of LC cells in the LC element has an original pretilt angle, and the optical sensor senses a first scattered light intensity of the laser beam outputted from the analyzer. When there is environmental disturbance, the alignment of the LC cells has a changed pretilt angle in relative to the original pretilt angle, and the optical sensor senses a second scattered light intensity of the laser beam outputted from the analyzer.

A method and system for measuring oxygen levels and various blood constituents utilizing a sensor having one or more light sources, and one or more light detectors is disclosed. The system is capable of using data collected by the one or more detectors from a non-monochromatic light source to provide accurate information during motion events occurring with an extremity the sensor. The system is also capable of detecting and providing an alert if the sensor is not properly placed on a patient or becomes disengaged therefrom.

A specimen is analyzed with high accuracy. An information processing device includes an extraction unit (20E) that extracts fluorescence correction information from a bright visual field image of a specimen, and a generation unit (20F) that generates a fluorescence correction image based on fluorescence information of the specimen and the fluorescence correction information.

A metrology system may receive a model for measuring one or more selected attributes of a target including features distributed in a selected pattern based on regression of spectroscopic scatterometry data from a scatterometry tool for a range of wavelengths. The metrology system may further generate a weighting function for the model to de-emphasize portions of the spectroscopic scatterometry data associated with wavelengths at which light captured by the scatterometry tool when measuring the target is predicted to include undesired diffraction orders. The metrology system may further direct the spectroscopic scatterometry tool to generate scatterometry data of one or more measurement targets including fabricated features distributed in the selected pattern. The metrology system may further measure the selected attributes for the one or more measurement targets based on regression of the scatterometry data of the one or more measurement targets to the model weighted by the weighting function.

A spectroscopic analysis apparatus, a spectroscopic analysis method, and a program capable of appropriately analyzing a sample are provided. The spectroscopic analysis apparatus according to an embodiment includes: a light source (13) generates light to be incident on a sample including a plurality of substances labeled by a plurality of labeled substances; a spectrometer (14) disperse observed light generated in the sample by the light incident on the sample; a detector (15) detects the observed light dispersed by the spectrometer (14) to output observed spectral data; and a processor (16) analyzes the plurality of substances included in the sample based on the observed spectral data output from the detector (15), the processor (16) analyzing the substances included in the sample using a generalized inverse of a matrix having, as elements, reference spectral data set for the plurality of labeled substances and data of a noise component.

Disclosed is an analytical method for analyzing a test substance contained in a measurement sample, the method comprising: generating a data set based on a plurality of optical spectra acquired from a plurality of locations in the measurement sample; inputting the data set into a deep learning algorithm having a neural network structure; and outputting information on the test substance, on the basis of an analytical result from the deep learning algorithm.

Disclosed is a preparation method for preparing a measurement sample comprising an aggregate of metal nanoparticles having an analyte bound thereto, the preparation method comprising: contacting the analyte with a linker to bind the analyte to the linker; and contacting the linker that has been bound to the analyte with the metal nanoparticles to bind the linker to the metal nanoparticles.