Abstract: The invention relates to a computing device-implemented method and apparatus for unsupervised segmentation of microscopic color image of unstained specimen and digital staining of segmented histological structures. Image of unstained specimen is created by light microscope 101, recorded by color camera 102 and stored on computer-readable medium 103. The invention is carried out by a computing device 104 comprised of: computer-readable medium for storing and computer for executing instructions of the algorithm for unsupervised segmentation of microscopic color image of unstained specimen and digital staining of segmented histological structures. Segmented histological structures and digitally stained image are stored and displayed on the output storing and display device 105 in order to establish diagnosis of a disease.

Abstract: The present invention relates to a computer-implemented method and apparatus for data processing for the purpose of blind separation of nonnegative correlated pure components from smaller number of nonlinear mixtures of mass spectra. More specific, the invention relates to preprocessing of recorded matrix of mixtures spectra by robust principal component analysis, trimmed thresholding, hard thresholding and soft thresholding; empirical kernel map-based nonlinear mappings of preprocessed matrix of mixtures mass spectra into reproducible kernel Hilbert space and linear sparseness and nonnegativity constrained factorization of mapped matrices therein. Thereby, preprocessing of recorded matrix of mixtures mass spectra is performed to suppress higher order monomials of the pure components that are induced by nonlinear mixtures. Components separated by each factorization are correlated with the ones stored in the library.

Abstract: Proposed invention is related to the field of photodynamic therapy and photodiagnosis. Specifically, a new algorithm is presented for visualization and spatial demarcation of various types of tumors and unhealthy tissue through unsupervised segmentation of the fluorescent multispectral image. Image is acquired through recording of the emission of the tissue illuminated by the light that induces fluorescence in the tumor. For this purpose tissue is treated by photo sensitizer.

Abstract: Changes, increase or decrease, in the body fluid are passively detected by using a single pixel, non-linear blind de-mixing procedure, which can be extended to general biomedical measurement and diagnosis instruments. More specifically, the single pixel, non-linear blind de-mixing procedure in applied on the hot spots of rheumatic arthritis or breast cancer detection problem using passive two-color infrared imaging, as well as to passively detect blockages in the body fluid circulatory system that might be of importance for coronary artery bypass surgery, diabetes and deep vein thrombosis. Other applications of the mentioned algorithm include a pair of cameras for video, a pair of antennas for cell phones, and in situ data gathering or imaging using multiple mode fiber-optical sensing, as well as selective amplification hearing aids through two-ear binaural processing for de-noise echo cancellation and signal classification.

Abstract: A computer-implemented data processing system for blind extraction of more pure components than mixtures recorded in 1D or 2D NMR spectroscopy and mass spectrometry. Sparse component analysis is combined with single component points (SCPs) to blind decomposition of mixtures data X into pure components S and concentration matrix A, whereas the number of pure components S is greater than number of mixtures X. NMR mixtures are transformed into wavelet domain, where pure components are sparser than in time domain and where SCPs are detected. Mass spectrometry (MS) mixtures are extended to analytical continuation in order to detect SCPs. SCPs are used to estimate number of pure components and concentration matrix. Pure components are estimated in frequency domain (NMR data) or m/z domain (MS data) by means of constrained convex programming methods. Estimated pure components are ranked using negentropy-based criterion.

Abstract: A computer-implemented data processing system for blind extraction of more pure components than mixtures recorded in 1D or 2D NMR spectroscopy and mass spectrometry. Sparse component analysis is combined with single component points (SCPs) to blind decomposition of mixtures data X into pure components S and concentration matrix A, whereas the number of pure components S is greater than number of mixtures X. NMR mixtures are transformed into wavelet domain, where pure components are sparser than in time domain and where SCPs are detected. Mass spectrometry (MS) mixtures are extended to analytical continuation in order to detect SCPs. SCPs are used to estimate number of pure components and concentration matrix. Pure components are estimated in frequency domain (NMR data) or m/z domain (MS data) by means of constrained convex programming methods. Estimated pure components are ranked using negentropy-based criterion.

Abstract: A method, system, and computer program product for identification of more than two pure components from two mixtures using sparse component analysis. Spectroscopic data for two mixtures X are analyzed in a recording domain or in a first new representation domain by using linear transform T1, wherein pure components in the first new representation domain are sparser than in the recording domain. The number of pure components and mixing matrix are estimated by means of a data clustering algorithm. The pure components are estimated by means of linear programming, convex programming with quadratic constraint (l2-norm based constraint) or quadratic programming method with l1-norm based constraint. The estimated pure components are ranked using negentropy based criterion.

Abstract: Proposed invention is related to the field of photodynamic therapy and photodiagnosis. Specifically, a new algorithm is presented for visualisation and spatial demarcation of various types of tumours and unhealthy tissue through unsupervised segmentation of the fluorescent multispectral image. Image is acquired through recording of the emission of the tissue illuminated by the light that induces fluorescence in the tumour. For this purpose tissue is treated by photo sensitizer.

Abstract: Changes, increase or decrease, in the body fluid flow are passively detected by using a single pixel, non-linear blind de-mixing procedure, which can be extended to general biomedical measurement and diagnoses instruments. More specifically the single pixel, non-linear blind de-mixing procedure is applied on the hot spots of rheumatic arthritis or breast cancer detection problem using passive two-color infrared imaging as well as to passively detect blockages in the body fluid circulatory system that might be of importance for coronary artery bypass surgery, diabetes and deep vein thrombosis. Other applications of the mentioned algorithm include a pair of cameras for video, a pair of antennas for cell phones, and in situ data gathering or imaging using multiple mode fiberoptical sensing as well as selective amplification hearing aids through two-ear binaural processing for de-noise echo cancellation and signal classification.

Abstract: Changes, increase or decrease, in the body fluid flow are passively detected by using a single pixel, non-linear blind de-mixing procedure, which can be extended to general biomedical measurement and diagnoses instruments. More specifically the single pixel, non-linear blind de-mixing procedure is applied on the hot spots of rheumatic arthritis or breast cancer detection problem using passive two-color infrared imaging as well as to passively detect blockages in the body fluid circulatory system that might be of importance for coronary artery bypass surgery, diabetes and deep vein thrombosis. Other applications of the mentioned algorithm include a pair of cameras for video, a pair of antennas for cell phones, and in situ data gathering or imaging using multiple mode fiberoptical sensing as well as selective amplification hearing aids through two-ear binaural processing for de-noise echo cancellation and signal classification.