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:
Methods, computer readable storage media and systems which can be used for analyzing labeled biological samples, identifying chromosomal aberrations, identifying genetically abnormal cells and/or computationally scanning the samples using randomly or randomized scanning methods are provided. Specifically, the present invention can be used to analyze FISH-stained samples and automatically identify chromosomal aberrations associated with abnormal intensity ratio of stained occurrences in the sample.
Abstract:
A light reflecting article (30) is disclosed. The light reflecting article (30) comprises a sample carrying article (32) layered with a light reflecting layer (34). The light reflecting layer (34) serves for allowing an optical collection and detection system (36) to collect both luminescent light emitted from a sample (38) positioned on the light reflecting article (30) in a direction of the optical collection and detection system (36), as well as luminescent light emitted from the sample (38) in a direction away from the optical collection and detection system (36) and reflected in the direction of the optical collection and detection system (36) via the light reflecting layer (34), thereby increasing a sensitivity of luminescent light detection.
Abstract:
A device for analyzing a biological sample is disclosed. The device comprises, a substrate having thereon a sample region for carrying the sample and a reference region; and a reference substance being immobilized on the reference region, and being bindable to at least one label that is specific to at least one component of the sample.
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 calibrating a spectral imaging system is disclosed. The spectral imaging system comprises an interferometer having a beam splitter and at least a first reflector and a second reflector. The method comprises: obtaining data pertaining to an interference pattern model, operating the spectral imaging system to provide an interference pattern of a received light beam, and varying a relative orientation between at least two of: the beam splitter, the first reflector and the second reflector, until the interference pattern of the input light beam substantially matches the interference pattern model.
Abstract:
Methods, computer readable storage media and systems which can be used for analyzing labeled biological samples, identifying chromosomal aberrations, identifying genetically abnormal cells and/or computationally scanning the samples using randomly or randomized scanning methods are provided. Specifically, the present invention can be used to analyze FISH-stained samples and automatically identify chromosomal aberrations associated with abnormal intensity ratio of stained occurrences in the sample.
Abstract:
A method for characterizing a stained pathological specimen is disclosed. The method comprises obtaining an image of the specimen, classifying the picture-elements of the image into classification groups, and using the classification groups to define at least one set of picture-elements corresponding to at least one tissue region of the pathological specimen. The method further comprises applying, on each set of picture-elements, at least one set-operator so as to characterize the tissue regions according to image data and spatial characteristics of the set.
Abstract:
A method and hardware for chromosome classification by decorrelation statistical analysis to provide color (spectral) karyotypes and to detect chromosomal aberrations.