Abstract:
PROBLEM TO BE SOLVED: To classify each pixel to groups by recording the luminance passed through a wide band emission filter of each pixel to show each pixel by a vector of the degree equal to the number of emission filters, and evaluating the presence of a plurality of fluorogens of each pixel. SOLUTION: A colored chromosome 104 is placed under the objective lens 101 of a device 100 and above the support plate 106 thereof, and a light 112 is emitted from a light source 110. A wide band existing filter 114 corrects the emission of the light 112 to a specified wavelength suitable for excitation, and a wide band emission filter 116 corrects the emission of the chromosome 104 to a specified wavelength. A control device 120 selects this filterpair, excites the fluorogen of each pixel, and repeats this procedure in all filter pairs. The emission luminance after passing the emission filter 116 is recorded by a luminance recording device 122, and each pixel is shown by a vector of the degree equal to the number of a plurality of filter pairs. An arithmetic device 124 comprises an algorithm for evaluating each presence of the fluorogen of each pixel, whereby each pixel is classified to groups.
Abstract:
PROBLEM TO BE SOLVED: To provide a chromosome display device. SOLUTION: The chromosome display device consists of a multifrequency band device (a) caught by algorithm for presenting the image of chromosomes or chromosome parts of cells colored by respectively different emission fluorophores or a combination of them to a visual presentation device by peculiar colors respectively different with respect to the chromosome parts of cells in such a state that one of different peculiar colors is applied to each of the chromosome parts of cells and the visual presentation device (b) for displaying the chromosome parts of cells.
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 (iv) 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 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 of analyzing an optical image of a scene to determine the spectral intensity of each pixel of the scene, which includes collecting incident light from the scene; (b) passing the light through an interferometer which outputs modulated light corresponding to a predetermined set of linear combinations of the spectral intensity of the light emitted from each pixel; focusing the light outputted from the interferometer on a detector array; and processing the output of the detector array to determine the spectral intensity of each pixel thereof. If the interferometer is of the moving type scanning in one dimension is required where the detector array is one dimensional, and no scanning when the detector array is two-dimensional. If the interferometer is of the non-moving type scanning is required in one dimension when the detector array is two-dimensional, and in two dimensions when the detector array is one-dimensional.
Abstract:
A method of spectral-morphometric analysis of biological samples, the biological samples including substantially constant components and suspected variable components, the method is effected by following the steps of (a) using a spectral data collection device for collecting spectral data of picture elements of the biological samples; (b) defining a spectral vector associated with picture elements representing a constant component of at least one of the biological samples; (c) using the spectral vector for defining a correcting function being selected such that when operated on spectral vectors associated with picture elements representing other constant components, spectral vectors of the other constant components are modified to substantially resemble the spectral vector; (d) operating the correcting function on spectral vectors associated with at least the variable components for obtaining corrected spectral vectors thereof; and (e) classifying the corrected spectral vectors into classification groups.
Abstract:
A method and hardware for chromosome classification by decorrelation statistical analysis to provide color (spectral) karyotypes and to detect chromosomal aberrations.
Abstract:
A spectral imaging method for simultaneous detection of multiple fluorophores aimed at detecting and analyzing fluorescent in situ hybridizations employing numerous chromosome paints and/or loci specific probes each labeled with a different fluorophore or a combination of fluorophores for color karyotyping, and at multicolor chromosome banding, wherein each chromosome acquires a specifying banding pattern, which pattern is established using groups of chromosome fragments labeled with various fluorophore or combinations of fluorophores.
Abstract:
An apparatus for use in a method of detecting and analysing fluorescent in-situ hybridisations (fig. 5) employing numerous chromosome paints (fig. 9) each labelled with a different fluorophore or combination of fluorophores, the apparatus being highly sensitive both in spatial and spectral resolutions (fig. 6) such that it is capable of simultaneous detection of dozens of fluorophores or combinations of fluorophores (fig. 7) so as to enable the detection of a complete set of fluorescently painted human chromosomes (fig. 10).