A spectrometer includes: a dispersive element configured to split light; a detector comprising a plurality of pixels configured to receive the split light; an optical mask disposed in an optical path of the light between the dispersive element and the detector and comprising a plurality of light transmitting portions and a plurality of light blocking portions which are arranged alternately; and a driver configured to control a position of the optical mask or a position of the detector, and change a light incident area of each of the plurality of pixels to receive the light incident on the plurality of light transmitting portions of the optical mask.

The disclosure provides improved processing of optical data by identifying anomalous signals in the electrical data representing the optical data. The improved processing can also include modifying the identified anomalous signal data to provide a truer representation of the optical data. The disclosed processing can be used by various systems and apparatuses for processing spectral data corresponding to the optical data. The improved processing canbe used to improve the monitoring of semiconductor processes and, therefore, improve the overall semiconductor processes. In one example, a method of processing spectral data includes: (1) receiving temporally separated spectral data samples, and (2) identifying one or more anomalous signals in an intermediate one of the temporally separated spectral data samples based on at least one preceding and at least one subsequent ones of the spectral data samples.

Systems and methods for characterizing biological specimens, which may involve identifying a cell type or state corresponding to a disease or health condition of a subject. A biological specimen is subjected to electromagnetic radiation for spectroscopic analysis such as Surface Enhanced Raman Spectroscopy (SERS) to determine the relative abundance of proteins or amino acids in the cells, which is used in a comparison to previously stored relative abundance data of a database to automatically identifies at least one of cell type and/or cell state of the cells (or the disease/health state of the subject with the disease state including the possibility of virus infection, or drug susceptibility of a subject to bacteria or fungus). The method may also be employed with biological entities or cellular structures such as exosomes and even protein or nucleic acid fragments to determine disease states or health states of the subject.

A system and method for detecting pathogenetic analytes including exciting a large target input area with radiation to produce scattered light to form an input beam, reformatting, with an optical slicer system, the input beam to produce an output beam, dispersing the output beam to produce an output area, capturing excitation data from the output area; and determining, with a processor, a presence of a particular analyte in the input area based on the excitation data. The input area can be greater than 100 micron squared and less than one million microns squared. The optical slicer system can be a high throughput virtual slit system. SERS analysis detects analytes of interest with both high resolution and sensitivity simultaneously, and is applicable for detection of the presence of viruses.

Exemplary embodiments of the present disclosure are related to a color target and methods and systems for estimating a spectral reflectance of the color target based on an image of the color target. The color target can include a substrate having a target surface, a sample window formed in the substrate and defining perimeter within which a sample surface is disposed, and one or more filters disposed the sample surface. The one or more filters are configured to cover a first portion of the sample surface, while leaving a second portion of the sample surface uncovered.

Disclosed are a method for obtaining a full reflectance spectrum of a surface and an apparatus therefor. The method for obtaining a full reflectance spectrum of a surface, comprises the steps of: (a) calculating a combination value of spectral characteristics of a light source and response characteristics of a camera for an image of a reference object, the full reflectance spectrum of a surface of which is known, by utilizing the known full reflectance spectrum of a surface; (b) obtaining an image by photographing an object irradiated with light according to a predetermined lighting environment; and (c) obtaining a full reflectance spectrum of a surface for the object by utilizing the combination value of the spectral characteristics of the light source and the response characteristics of the camera for the image.

First and second filter magazines in each of which plural filters having different transmission wavelengths from each other are arranged in a row are provided, and the first and second filter magazines are arranged next to each other in one direction. A light detection unit in which plural photomultipliers of first and second photomultipliers, each of which detects light that has passed through at least one of the filters included in the first and second filter magazines, are arranged in the arrangement direction of the filters is provided, and the light detection unit is placed in the one direction in such a manner to be parallel to the first and second filter magazines. The apparatus is configured in such a manner that the first and second filter magazines and the light detection unit are movable in the arrangement direction of the filters.

The present invention relates to an apparatus for detecting photons according to an atmospheric condition, using a function of adjusting light quantity that can significantly improve reliability of an atmospheric condition analysis result by minimizing noise in a spectrum by maintaining the quantity of incident light uniform within a predetermined range regardless of atmospheric conditions and changes, and to a method of adjusting light quantity. The apparatus for detecting photons in accordance with atmospheric conditions using a function of adjusting light quantity includes: an apparatus case having a light inlet; a light quantity adjuster disposed under the light inlet and adjusting quantity of incident light such that a predetermined quantity of light travels inside; and a controller controlling operation of the light quantity adjuster in accordance with intensity of light detected by the light quantity adjuster.

Systems and methods for characterizing biological specimens, which may involve identifying a cell type or state corresponding to a disease or health condition of a subject. A biological specimen is subjected to electromagnetic radiation for spectroscopic analysis such as Surface Enhanced Raman Spectroscopy (SERS) to determine the relative abundance of proteins or amino acids in the cells, which is used in a comparison to previously stored relative abundance data of a database to automatically identifies at least one of cell type and/or cell state of the cells (or the disease/health state of the subject with the disease state including the possibility of virus infection, or drug susceptibility of a subject to bacteria or fungus). The method may also be employed with biological entities or cellular structures such as exosomes and even protein or nucleic acid fragments to determine disease states or health states of the subject.

A system and method for detecting pathogenetic analytes including exciting a large target input area with radiation to produce scattered light to form an input beam, reformatting, with an optical slicer system, the input beam to produce an output beam, dispersing the output beam to produce an output area, capturing excitation data from the output area; and determining, with a processor, a presence of a particular analyte in the input area based on the excitation data. The input area can be greater than 100 micron squared and less than one million microns squared. The optical slicer system can be a high throughput virtual slit system. SERS analysis detects analytes of interest with both high resolution and sensitivity simultaneously, and is applicable for detection of the presence of viruses.