Abstract:
A method of detecting the presence, absence and/or level of a plurality of analytes-of-interest in a sample, the method comprisES: (a) providing a plurality of objects, each of the plurality of objects having a predetermined, measurable and different imagery characteristic, and further having a predetermined and specific affinity to one analyte of the plurality of analytes-of-interest, each the imagery characteristic corresponding to one the predetermined specific affinity, hence each the imagery characteristic corresponds to one analyte of the plurality of analytes-of interest; (b) providing at least one affinity moiety having a predetermined and specific affinity or predetermined and specific affinities to the plurality of analytes-of-interest, each the affinity moiety having a predetermined, measurable response to light; (c) combining the objects, the at least one affinity moiety and the sample under conditions for affinity binding; and (d) simultaneously determining, for each object of the plurality of objects an imagery characteristic, and for at least a portion of the at least one affinity moiety a response to light, thereby detecting the presence, absence and/or level of the plurality of analytes-of-interest in the sample.
Abstract:
A light reflecting article is disclosed. The light reflecting article comprises a sample carrying article layered with a light reflecting layer. The light reflecting layer serves for allowing an optical collection and detection system to collect both luminescent light emitted from a sample positioned on the light reflecting article in a direction of the optical collection and detection system, as well as luminescent light emitted from the sample in a direction away from the optical collection and detection system and reflected in the direction of the optical collection and detection system via the light reflecting layer, thereby increasing a sensitivity of luminescent light detection.
Abstract:
A synchronizing imaging apparatus to obtain images from an object undergoing variations according to a cycle with the apparatus comprising an acquisition device to acquire a plurality of pre-images at respective phases over each one of a plurality of cycles, and an image matcher to match together the pre-images from different ones of said cycles according to respective phases within said cycles, to create a representation of said cycle.
Abstract:
A method of functional brain mapping of a subject is disclosed. The method is effected by (a) illuminating an exposed cortex of a brain or portion thereof of the subject with incident light; (b) acquiring a reflectance spectrum of each picture element of at least a portion of the exposed cortex of the subject; (c) stimulating the brain of the subject; (d) during or after step (c) acquiring at least one additional reflectance spectrum of each picture element of at least the portion of the exposed cortex of the subject; and (e) generating an image highlighting differences among spectra of the exposed cortex acquired in steps (b) and (d), so as to highlight functional brain regions. Algorithms for calculating oxygen saturation and blood volume maps which can be used to practice the method are also disclosed. Systems for practicing the method are also disclosed.
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).
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:
Classification of pixels into groups of pixels according to their association with a single fluorophore or a combination of fluorophores, comprises: (a) providing a number of wide-band emission filters; (b) for each of the pixels, recording emitted light intensity as retrieved after passing through each one of the emission filters, such that each of the pixels is representable by a vector of a number of dimensions equal to the number of wide-band emission filters; and (c) using an algorithm for evaluating the presence of each of the fluorophores associated with each of the pixels, thus classifying each of the pixels into a group of pixels according to its association with the fluorophores. Each fluorophore has a characterising emission spectrum and a specifying emission peak.