Abstract:
According to an aspect of some embodiments of the present invention there is provided a method of analyzing imagery data pertaining to a biological sample. the method comprises: identifying structures of biological elements in the imagery data based on achromatic intensity values of the imagery data, and displaying the imagery data as a color-coded image.
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 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:
An rotating optical device in which the angular relationship of the exit beam to the incident beam is independent of the degree of rotation of the device. Two optical elements are defined by planes that intersect at a 45.degree. angle. A third optical element is defined by a plane that bisects the 45.degree. angle. The device is rotated about the line included by all three planes. In an embodiment of the device configured as a Sagnac interferometer, the first two optical elements are reflectors and the third element is a beamsplitter. Preferably, up to eight such interferometers are mounted on the same rotating platform and with the same rotational axis, for extended spectral bandwidth. The scope of the invention also includes spectral imaging devices based on such interferometers.
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:
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 method for cancer cell detection including the steps of (a) staining an analyzed sample with at least first and second dyes, the dyes being selected such that the first dye better adheres to normal cells whereas the second dye better adheres to cancer cells; (b) spectrally imaging the sample through an optical device being optically connected to an imaging spectrometer thereby obtaining a spectrum of each pixel of the sample; (c) based on the spectra, evaluating concentrations of the first and second dyes for each of the pixels; and (d) based on the concentrations detecting the presence of cancer cells in the sample.
Abstract:
A method of determining the thickness map of a film (14) overlying a substrate (14). This method includes illuminating (10) the film simultaneously from different angles and analyzing spectral intensity of the radiation reflected by each point on the film (14). The analysis is effected by collecting reflected radiation from the film (14), passing the radiation through an interferometer (16) which outputs modulated radiation corresponding to a predetermined set of linear combinations of the spectral intensity of the radiation emitted from each pixel, simultaneously and separately scanning optical path differences generated in the interferometer (16) for each pixel, focusing the radiation outputted from the interferometer (16) on a detector array, and processing the output of the detector array to determine the spectral intensity of each pixel thereof to obtain a spectral intensity distribution. Finally, the method includes further processing the spectral intensity distribution to determine the spatial distribution of the thickness of the film (16).
Abstract:
A method and apparatus for analyzing an optical image of a scene to determine the spectral intensity of each pixel thereof, by: collecting incident light from the scene; scanning the incident light; passing the scanned 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.
Abstract:
A method and hardware for chromosome classification by decorrelation statistical analysis to provide color (spectral) karyotypes and to detect chromosomal aberrations.