Abstract:
PROBLEM TO BE SOLVED: To eliminate the influence to an absorption spectrum even if interference waveform is distorted by the mixture of noise and the unstable factors of a light source and a detector. SOLUTION: Two measurement interference waveform data that are continuous in time are held in a memory onec (S12), the amount of noise and the degree of similarity are calculated from the data at an end section and at a center section, respectively (S14, S15), and an index value E for judging whether interference waves are conforming or not is obtained from them (S16). When the index value E is equal to or less than a threshold Et that is determined by measurement in advance, it is judged that the interference waves are appropriate and the waveform is integrated (S17, S18). In the case of the mixture of noise due to turbulence or the like, and the unstable state until a light source and a detector reach a stable state, the index value E increases, so that it is judged to be-nonconforming waveform and is excluded from integration, thus preventing the integral waveform from being distorted and increasing the accuracy also in absorption spectrum obtained from Fourier transform from it.
Abstract:
PROBLEM TO BE SOLVED: To provide a useful optical spectrum analyzer high in wavelength resolution having simple construction including a small number optical parts without a mechanical driving part, and a method for measuring optical signal with the analyzer. SOLUTION: A signal light and a locally oscillated light generated by a local oscillator 12 are mixed into a heterodyne signal at an optical mixer (photo coupler) 13 and detected by an electric spectrum analyzer 15. A tunable filter 16, which consists of a polymer waveguide, is placed in the front stage of the mixer 13 and activated by applying a current to the triangular electrodes for a heater of a phase shifter mounted in an array of waveguide. The frequency of the local oscillator 12 is tunable oscillation. The signal light is detected with locally oscillated light by means of heterodyne detection to pick up the profile of the differential frequency component, which is the intermediate frequency of the heterodyne signal as a beat signal, by the electric spectrum analyzer. COPYRIGHT: (C)2003,JPO
Abstract:
A method for finding L internal reference vectors for classification of L chromosomes or portions of chromosomes of a cell, the L chromosomes or portions of chromosomes being painted with K different fluorophores or combinations thereof, wherein K basic chromosomes or portions of chromosomes of the L chromosomes or portions of chromosomes are each painted with only one of the K different fluorophores, whereas the other L-K of the L chromosomes or portions of chromosomes are each painted with a different combination of the K different fluorophores, the method comprising the steps of (a) using a multi-band collection device for measuring a first vector for each pixel of each of the L chromosomes or portions of chromosomes; (b) identifying pixels belonging to each of the K basic chromosomes or portions of chromosomes and defining the pixels as basic pixels, so as to obtain K basic classes of basic pixels; (c) using at least one basic pixel from each of the K basic classes for obtaining K basic vectors, the K basic vectors being K internal reference vectors; (d) using the K basic vectors for identifying pixels belonging to the other L-K chromosomes or portions of chromosomes; and (e) using the pixels belonging to the other L-K chromosomes or portions of chromosomes for calculating the other L-K internal reference vectors, thereby finding all of the L internal reference vectors. A method for classification of L chromosomes or portions of chromosomes of a cell similarly painted using the above method for finding L internal reference vectors, and using the L reference vectors for classification of each of the pixels into one of L classification classes. And, images presenting color chromosomes.
Abstract:
A method of in situ analysis of a biological sample comprising the steps of (a) staining the biological sample with N stains of which a first stain is selected from the group consisting of a first immunohistochemical stain, a first histological stain and a first DNA ploidy stain, and a second stain is selected from the group consisting of a second immunohistochemical stain, a second histological stain and a second DNA ploidy stain, with provisions that N is an integer greater than three and further that (i) if the first stain is the first immunohistochemical stain then the second stain is either the second histological stain or the second DNA ploidy stain; (ii) if the first stain is the first histological stain then the second stain is either the second immunohistochemical stain or the second DNA ploidy stain; whereas (iii) if the first stain is the first DNA ploidy stain then the second stain is either the second immunohistochemical stain or the second histological stain; and (b) using a spectral data collection device for collecting spectral data from the biological sample, the spectral data collection device and the N stains are selected such that a spectral component associated with each of the N stains is collectable.
Abstract:
A method for remote scenes classification comprising the steps of (a) preparing a reference template for classification of the remote scenes via (i) classifying a set of reference scenes via a conventional classification technique for obtaining a set of preclassified reference scenes; (ii) using a first spectral imager for measuring a spectral cube of the preclassified reference scenes; (iii) employing a principal component analysis for extracting the spectral cube for decorrelated spectral data characterizing the reference scenes; and (vi) using at least a part of the decorrelated spectral data for the preparation of the reference template for remote scenes classification; (b) using a second spectral imager for measuring a spectral cube of analyzed remote scenes, such that a spectrum of each pixel in the remote scenes is obtained; (c) employing a decorrelation statistical method for extracting decorrelated spectral data characterizing the pixels; and (d) comparing at least a part of the decorrelated spectral data extracted from the pixels of the remote scenes with the reference template.
Abstract:
A spectral bio-imaging method for enhancing pathologic, physiologic, metabolic and health related spectral signatures of an eye tissue, the method comprising the steps of (a) providing an optical device for eye inspection being optically connected to a spectral imager; (b) illuminating the eye tissue with light via the iris, viewing the eye tissue through the optical device and spectral imager and obtaining a spectrum of light for each pixel of the eye tissue; and (c) attributing each of the pixels a color or intensity according to its spectral signature, thereby providing an image enhancing the spectral signatures of the eye tissue.