Abstract: An optical device includes a low-noise illumination source, a support device, an ultra low-noise detector, an analog-to-digital converter, and a controller. The low-noise illumination source is configured to generate a single beam of radiation. The support device is configured to support an object and to pass the single beam of radiation through the object. The object directly blocks, absorbs, or deflects portions of the single beam of radiation, thereby directly modulating the single beam of radiation. The low-noise detector is configured to detect the modulated single beam of radiation and to output an analog signal representative of vibrational spectra of the object. The modulated single beam of radiation is non-interferometric. The analog-to-digital converter is configured to convert the detected analog signal into a digital signal. The controller is configured to analyze and generate vibrational spectra of the object from the digital signal represented as a range of events over time.

Abstract: Disclosed are systems and methods for measuring vibrational spectra of a living cells and tissue that includes a low noise consistent optical source creating a photon beam, a support device, a photon-to-electron converter/detector outputting a streamed analog electrical signal, an analog-to-digital converter, and a digital signal processor with specialized software for measuring and characterizing the signal contained in the photon beam and its subsequent detector's streamed analog converted to digital signal. Motion of the living sample causes modulation to the photon beam as it passes through the living samples by how much of the photon beam is blocked, absorbed or deflected. In addition, specific sub-cellular vibrational features can be segregated utilizing fluorescent markers.

Abstract: Disclosed are systems and methods for measuring vibrational spectra of a living cells and tissue that includes a low noise consistent optical source creating a photon beam, a support device, a photon-to-electron converter/detector outputting a streamed analog electrical signal, an analog-to-digital converter, and a digital signal processor with specialized software for measuring and characterizing the signal contained in the photon beam and its subsequent detector's streamed analog converted to digital signal. Motion of the living sample causes modulation to the photon beam as it passes through the living samples by how much of the photon beam is blocked, absorbed or deflected. In addition, specific sub-cellular vibrational features can be segregated utilizing fluorescent markers.

Abstract: A machine-implemented method for computerized digital signal processing including obtaining a digital signal from data storage or from conversion of an analog signal, and determining, from the digital signal, one or more measuring matrices. Each measuring matrix has a plurality of cells, and each cell has an amplitude corresponding to the signal energy in a frequency bin for a time slice. Cells in each measuring matrix having maximum amplitudes along a time slice and/or frequency bin are identified as maximum cells. Maxima that coincide in time and frequency are identified and a correlated maxima matrix, called a “Precision Measuring Matrix” is constructed showing the coinciding maxima and the adjacent marked maxima are linked into partial chains.

Abstract: The invention consists of new ways of constructing a Measuring Matrices (MMs) including time deconvolution of Digital Fourier Transforms DFTs. Also, windowing functions specifically designed to facilitate time deconvolution may be used, and/or the DFTs may be performed in specific non-periodic ways to reduce artifacts and further facilitate deconvolution. These deconvolved DFTs may be used alone or correlated with other DFTs to produce a MM.

Abstract: A method is performed of selecting a signal of interest from a compound signal. The method includes generating a matrix and initializing a first row of the matrix to zero. The compound signal is obtained as a digital waveform signal, with sampling rate S samples per second. For each sample of the digital signal, a new entry is recursively computed for the matrix. For each frequency bin in the matrix (where f is the center frequency of the bin) the value in the new row is computed by multiplying the value for that bin in the previous row by the complex number r*ei2?f/S and adding the new signal sample multiplied by a real constant. The method includes identifying the signal of interest from the matrix, whereby an uncertainty of which frequency bin the signal of interest exists in is eliminated.

Abstract: A machine-implemented method for computerized digital signal processing obtains a digital signal from data storage or from conversion of an analog signal and determines, from the digital signal, Measuring Matrices (MM). Each measuring matrix has a plurality of cells, each cell having an amplitude corresponding to the signal energy in a frequency bin for a time slice. Cells in each measuring matrix having maximum amplitudes within a time slice are identified as maximum cells. Maxima that coincide in time and frequency are identified and a correlated maxima matrix (PMM) is constructed showing the coinciding maxima and the adjacent marked maxima are linked into partial chains. If only one MM is constructed, multiple types of maxima are identified to generate the (PMM). The partial chains are isolated by parameters for a single domain or multiple domains to identify partial chains and possible separation of complex compound waveforms in the digital signal.