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 spectral imaging system comprises: a sequential optical system providing a temporal sequence of output light beams describing the scene; a color imager receiving the output light beams and responsively generating, for each output light beam, an image signal that is spatially resolved into a plurality of color channels. The system can also comprise an image processor that collectively process the image signals to construct a spectral image of the scene.
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:
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 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 spectral imaging system comprises: a sequential optical system providing a temporal sequence of output light beams describing the scene; a color imager receiving the output light beams and responsively generating, for each output light beam, an image signal that is spatially resolved into a plurality of color channels. The system can also comprise an image processor that collectively process the image signals to construct a spectral image of the scene.