Abstract: The present invention provides a system and method for automatically deriving unique surrogate response data from experiment results in which inherent data loss occurs in a sufficient number of the samples to disallow quantitative effects estimation at the experimenter's desired level of confidence for statistical significance. In part, the unique surrogate response data sets of the present invention have four primary characteristics including: each is numerically analyzable; each may be more readily or directly obtained in which inherent data loss occurs; each provides a response value for an experiment trial; and each provides information on the effect of the change made to the process or system that would have been obtainable if the experiment samples had had no inherent data loss.

Abstract: The present invention provides a system and method for automatically deriving unique surrogate response data from experiment results in which inherent data loss occurs in a sufficient number of the samples to disallow quantitative effects estimation at the experimenter's desired level of confidence for statistical significance. In part, the unique surrogate response data sets of the present invention have one or more of four primary characteristics including: each is numerically analyzable; each may be readily or directly obtained when inherent data loss occurs; each provides a response value for an experiment trial; and each provides information on the effect of a change made to the process or system that would have been obtainable if the experiment samples had had no inherent data loss.

Abstract: A method of measuring Raman signals comprises: an analyte placing step of placing an analyte on a detection surface of a microstructure plate which generates an enhanced electric field when irradiated with excitation light; an irradiating step of irradiating the detection surface with the excitation light so that the enhanced electric field is generated around the detection surface and light is emitted from the analyte and the detection surface to be enhanced by the generated enhanced electric field; a Raman signal obtaining step of detecting the enhanced light to obtain a Raman signal emitted from the analyte and a background signal for use as a reference, the Raman signal and the background signal having respective intensities; and a normalizing step of normalizing the Raman signal from the analyte by dividing the intensity of the Raman signal from the analyte by the intensity of the background signal obtained as the reference.

Abstract: A computerized system and method analyzes chromatographic data by determining at least one data point in the graph of a set of chromatographic data according to a predetermined criteria. A set of deviations is calculated from the data point in each set of chromatographic data. A set of replicated data points is created wherein each replicate data point is calculated by combining each data point and a randomly selected deviation. Once the replicated data is created, statistical analysis may be performed on the set of replicate data points. The replication of data points uses random selection with replacement. The deviations may be calculated by a function of a random percentile number and a calculated standard deviation from a data point. A first and second derivative of the chromatograph may be calculated for each data point. The data points may further be smoothed.

Abstract: The present invention provides a system and method for automatically generating reduced response data sets from complex scientific data via a response data handler (RDH) methodology, thereby eliminating non-systematic losses and oversights often associated with and resulting from the current practice while improving the overall integrity and confidence of the results typically sought in experimental practice.

Abstract: A chromatographic analyzer is provided for facilitating curve fitting by means of the linear least-square method for a chromatogram that contains a plurality of overlapping peaks. The present invention is characterized by a chromatographic data processor for executing data processing of a chromatogram obtained by separating a sample to be measured using a column and detecting the separated sample, wherein fitting processing is executed to each peak in an arbitrary time region having the plurality of peaks of the chromatogram starting from the front side of the time region or from the back side of the time region, and the processed peaks are subtracted from the chromatogram in the time region so that the plurality of peaks in the chromatogram can be separated from one another. Thus, the plurality of overlapping peaks, particularly three or more overlapping peaks in the chromatogram can be easily separated from one another only by defining some setting conditions.

Abstract: A method for batch implementation of settings in a renal replacement therapy device including: displaying on a user interface control settings which may be manually selected by an operator; selecting an independent control setting of the plurality of control settings; adjusting the independent control setting to an independent control setting level selected by an operator; temporarily storing the adjusted independent control setting level; automatically adjusting a dependent control setting level based upon the independent control level; displaying the adjusted independent control setting level and the adjusted dependent control setting, and implementing both the adjusted independent control setting level and the adjusted dependent control setting to control the device, by actuating a batch setting acceptance operation.

Abstract: Groups of correlated representations of variables are identified from a large amount of spectrometry data. A plurality of samples is analyzed and a plurality of measured variables is obtained from a spectrometer. A processor executes a number of steps. The plurality of measured variables is divided into a plurality of measured variable subsets. Principal component analysis followed by variable grouping (PCVG) is performed on each measured variable subset, producing one or more group representations for each measured variable subset and a plurality of group representations for the plurality of measured variable subsets. While the total number of the plurality of group representations is greater than a maximum number, the plurality of group representations is divided into a plurality of representative subsets and PCVG is performed on each subset. PCVG is performed on the remaining the plurality of group representations, producing a plurality of groups of correlated representations of variables.

Abstract: When a target substance's composition formula is deduced by using a mass spectrometer, if the target substance's composition formula is deduced based on an MSn spectrum and candidates are found, a composition formula candidate list including all the composition formula candidates is created, and the list is displayed in a list format. The composition formula candidates are narrowed down based on the MSn spectrum by an MS2 analysis or MS3 analysis. If there is a candidate to be excluded, the composition formula candidate list is updated, and the excluded candidate is moved to the exclusion list. Accompanying this, a composition formula candidate table is displayed in a list format on the display window. In this table, the composition formula candidates included in the exclusion list and the remaining composition formula candidates in the composition formula candidate list are simultaneously displayed with different colors so that they are visually discriminable.

Abstract: A novel method for displaying a chromatogram that is capable of displaying a chromatogram with improved visibility is provided. This is a method for displaying a chromatogram having a time axis as a horizontal axis, based on analysis data of a target object in a sample, the method including displaying a chromatogram in which the scale of the time axis for a predetermined time period is altered.

Abstract: A method that identifies common peaks among unidentified peaks in the data from different LC-MS or LC-MS/MS runs is provided. The method employs an algorithm, herein referred to as “Precision Peak Matching (PPM).” The different runs can be from different laboratories, instruments, and biological samples that result in a significant variability in the data. PPM allows estimation and control of precision, defined as the fraction of truly identical peptide pairs among all pairs retrieved, in the matching process. PPM finds the maximal number of peptide pairs at a prescribed precision, thereby allowing quantitative control over the trade off between the number of true pairs missed, and false pairs found. PPM finds common peptides from a database of LC-MS runs of heterogeneous origins, and at the specified precision. PPM fills a much-needed role in proteomics by extracting useful information from disparate LC-MS databases in a statistically rigorous and interpretable manner.

Abstract: There is provided a method of automatically identifying and characterizing spectral peaks of a spectrum generated by an analytical apparatus comprising the steps of: receiving the spectrum generated by the analytical apparatus; automatically subtracting a baseline from the spectrum so as to generate a baseline-corrected spectrum; automatically detecting and characterizing the spectral peaks in the baseline-corrected spectrum; reporting the detected and characterized spectral peaks to a user; receiving a list of adjustments to be made to the detecting and characterizing step from the user; and adjusting exit values used in the detecting and characterizing step, based on the list of adjustments.

Abstract: Various embodiments of an oil monitoring apparatus are provided. In one embodiment, an oil monitoring apparatus includes a probe and an analyzing module in-line connected to the probe. The probe includes: a first sensor for measuring respective optical intensities of a light passing through the oil at respective red, green and blue wavelength ranges; a second sensor for measuring a water content; and a third sensor for measuring a temperature of the oil. The analyzing module calculates and monitors chemical deterioration of the oil, total contamination of the oil, a relative saturation of the oil by water and temperature of the oil based on the output signals of the first and third sensors. The oil monitoring apparatus monitors various parameters relating to the deterioration of the oil and to the physical properties of the oil.

Abstract: An exhaust gas analysis method comprises applying a laser beam to the exhaust gas discharged from an internal combustion engine, receiving the laser beam that has passed through the exhaust gas, and measuring the concentration of any of the components contained in the exhaust gas based on the received laser beam. The exhaust gas analysis method further comprises detecting the absorption spectrum of the laser beam absorbed in the exhaust gas by using the received laser beam, calculating the concentration of the specific gas component by using the absorption spectrum, calculating the temperature of the exhaust gas by using the absorption spectrum, calculating the pressure of the exhaust gas by using the absorption spectrum, correcting the calculated concentration of the component contained in the exhaust gas by using the calculated temperature, correcting the concentration by using the calculated pressure, and outputting the true concentration value.

Abstract: The method of modeling residual stresses during laser cutting utilizes thermal diffusion and stress equations and a discretization numerical method to model temperature variation and residual stresses in a substrate material due to laser cutting therethrough of small-diameter holes.

Abstract: Disclosed herein are compositions and methods used for detecting different types of molecules associated with a site on a solid support.

Abstract: In one aspect, an alarm mask for condition monitoring in a wind turbine is automatically generated. A reference data selecting definition is selected from a control definition repository in the wind turbine. The reference data selecting definition specifies a time interval of recorded reference data. Reference data is selected from a sensor located in the wind turbine recorded during the time interval. A reference value is calculated based on the reference data. A first and a second alarm mask factor are selected from the control definition repository. A first alarm mask is calculated based on multiplying the first alarm mask factor and the reference value. A second alarm mask is calculated based on multiplying the second alarm mask factor by the reference value.

Abstract: A system, a method, and a programmed device for measurement of translocational activity among cellular compartments process magnified images of cellular material exposed to an agent by segmenting and compartmentalizing the images and then measuring fractional localized intensity of two or more components in the segmented, compartmentalized image. The measured fractional localized intensities are compared to determine translocation of cellular material among the measured components caused by the agent.

Abstract: A system and method to search spectral databases and to identify unknown materials from multiple spectroscopic data in the databases. The methodology may be substantially automated and is configurable to determine weights to be accorded to spectroscopic data from different spectroscopic data generating instruments for improved identification of unknown materials. Library spectra from known materials are divided into training and validation sets. Initial, instrument-specific weighting factors are determined using a weight grid or weight scale. The training and validation spectra are weighted with the weighting factors and indicator probabilities for various sets of “coarse” weighting factors are determined through an iterative process. The finally-selected set of coarse weighting factors is further “fine tuned” using a weight grid with finer values of weights.

Abstract: A method and system of monitoring for chemical or other toxic agents includes operating a plurality of first type sensors having a first level of sensitivity to an agent in a monitored area. Concurrently a second type sensor is operated having a second level of sensitivity to the agent in the monitored area, where the second level of sensitivity is at least ten times more sensitive than the first level of sensitivity. Input from the plurality of first type sensors and the second type sensor is received and analyzed, at a central location, in order to determine the presence of the agent in the monitored area.

Abstract: Implementations of the present invention describe an apparatus for generating calibration factors for a spectral detector instrument. The calibration factors are derived from a calibration plate containing one or more spectral species in each well of the calibration plate. Each well is then exposed to an excitation source that causes the one or more spectral species in each of the wells to fluoresce. The signal response is measured and associated with each spectral species at each different well position in the calibration plate. Next, the measured signal response from each spectral species at each well position in the calibration plate is compared with a predetermined signal response for each spectral species. The results of this comparison can be used to determine a calibration factor for each well and spectral species to compensate for the difference between the measured signal response and the predetermined signal response.

Abstract: A system for providing animal test information is disclosed that comprises: test devices; and a central device communicably connected to the test devices, wherein each of the terminal test devices comprises: an input receiving section for receiving input of attribution information of a sample; a measurement section for measuring the sample and acquiring a measurement result; an information transmitting section for transmitting a data set of the attribution information and the measurement result to the central device, wherein the central device comprises: an information receiving section for receiving the data set; a data storage for storing a plurality of the data set; a standard value calculation section for calculating a standard value to be used for determining a treatment of an animal, based on a plurality of the measurement result included in a plurality of the data set which have common attribution information.

Abstract: A spectroscopic analyzer includes a first measurement section which measures a spectrum of near-infrared region by irradiating a sample with near-infrared light, a second measurement section which measures a spectrum of infrared region by irradiating the sample with infrared light, and an analysis section which analyzes characteristics of the sample using the spectra measured by the first and second measurement sections. The analysis section includes a first calculation module which acquires a integrated spectrum by combining the spectrum of near-infrared region and the spectrum of infrared region, a second calculation module which calculates a difference spectrum of a reference spectrum measured in advance and the integrated spectrum, and a third calculation module which calculates correlation between the spectrum of near-infrared region and the spectrum of infrared region by performing a two-dimensional correlation operation using the difference spectrum.

Abstract: An analytical system is disclosed which recognizes different types of consumables with an identical footprint based on a unique surface geometry of each consumable. The analytical system comprises stackers into which said consumables can be loaded either automatically or by the user. The stacker for one specific type of consumable recognizes said type of consumable based on its unique surface geometry.

Abstract: A chromatographic analyzer is provided for facilitating curve fitting by means of the linear least-square method for a chromatogram that contains a plurality of overlapping peaks. A chromatographic data processor executes fitting processing to each peak in an arbitrary time region having the plurality of peaks of the chromatogram starting from the front or back side of the time region or from the back side of the time region, and the processed peaks are subtracted from the chromatogram in the time region so that the plurality of peaks in the chromatogram can be separated from one another.

Abstract: A method of analyzing spectroscopic data, the method comprising collecting spatially resolved measurement spectroscopic data of a sample for a series of measurements spots, assigning the measurement spots into a predefined set of spectral categories, based on characteristics of the spectroscopic data of the respective measurement spots, identifying groupings of the measurement spots based on their respective spectral categories and their spatial relationships, and assigning each grouping of measurement spots to a fundamental sample unit data object.

Abstract: A method for identifying a convolved peak is described. A plurality of spectra is obtained. A multivariate analysis technique is used to assign data points from the plurality of spectra to a plurality of groups. A peak is selected from the plurality of spectra. If the peak includes data points assigned to two or more groups of the plurality of groups, the peak is identified as a convolved peak. Principal component analysis is one multivariate analysis technique that is used to assign data points. A number of principal components are selected. A subset principal component space is created. A data point in the subset principal component space is selected. A vector is extended from the origin of the subset principal component space to the data point. One or more data points within a spatial angle around the vector are assigned to a group.

Abstract: The invention relates to a method for determining the ignitability of fuel, particularly of diesel, biodiesel, gas-to-liquid or biomass-to-liquid fuel, with an unknown fuel quality for an internal combustion engine. Provision is made for the density of the fuel to be ascertained and for the ignitability to be derived from this.

Abstract: Systems and methods for determining the gas composition of a gas mixture in a fuel tank of a motor vehicle filled with a compressed natural gas (CNG) mixture are provided. A pressure sensor and a temperature sensor are used to measure a gas pressure and a gas temperature in the fuel tank A processor may execute an algorithm to determine, based at least on the measured gas temperature and the measured gas pressure in the fuel tank, a current vapor pressure of each of at least one component of the CNG mixture in the fuel tank. If the measured gas pressure in the fuel tank falls below a threshold, a corresponding current composition of the CNG mixture in the fuel tank may be determined.

Abstract: The present invention is directed to a method for identifying one or more matching formulas for matching color and appearance of a target coating containing effect pigments. The present invention is also directed to a system for identifying one or more matching formulas for matching color and appearance of a target coating containing effect pigments.

Abstract: A system for analyzing tissue samples, that generally comprises, a storage device for at least temporarily storing one or more images of one or more cells, wherein the images comprise a plurality of channels; and a processor that is adapted to determine the extent to which a biomarker may have translocated from at least one subcellular region to another subcellular region; and then to generate a score corresponding to the extent of translocation.

Abstract: A system includes an electrochemical cell, monitoring hardware, and a computing system. The monitoring hardware samples performance characteristics of the electrochemical cell. The computing system determines cell information from the performance characteristics. The computing system also analyzes the cell information of the electrochemical cell with a Butler-Volmer (BV) expression modified to determine exchange current density of the electrochemical cell by including kinetic performance information related to pulse-time dependence, electrode surface availability, or a combination thereof. A set of sigmoid-based expressions may be included with the modified-BV expression to determine kinetic performance as a function of pulse time. The determined exchange current density may be used with the modified-BV expression, with or without the sigmoid expressions, to analyze other characteristics of the electrochemical cell.

Abstract: The present disclosure provides, among other things, methods for the identification of sulfated glycans in a mixture of glycans.

Abstract: A method and system for deconvolution of a frequency spectrum obtained in an ICR mass spectrometer based on a detection of ion oscillation overtones of the M-th order (where the integer M>1). A plurality of frequency peaks is collected within the frequency spectrum corresponding respectively to oscillations of different groups of ions, and associates at least one of the frequency peaks having a frequency f and a measured amplitude A with a particular group of the ions. The method and system identify whether the frequency peak is related to one of an overtone frequency, a subharmonic frequency, a higher harmonic frequency, or a side-shifted frequency of the oscillations of the different group of ions.

Abstract: A module for measuring physical attributes linked to includes a pad that is attachable or wearable to the body of a person; a signal sensing unit installed on the pad to sense at least one type of physical attributes signal that changes according to motions of the body; and a transmitting unit transmitting the physical attributes signal sensed by the signal sensing unit. A system including the module and a method of applying the module is also provided.

Abstract: There is provided a method of automatically identifying and characterizing spectral peaks of a spectrum generated by an analytical apparatus and reporting information relating to the spectral peaks to a user, comprising the steps of receiving the spectrum generated by the analytical apparatus; automatically subtracting a baseline from the spectrum so as to generate a baseline-corrected spectrum; automatically detecting and characterizing the spectral peaks in the baseline-corrected spectrum; and reporting at least one item of information relating to each detected and characterized spectral peak to a user. In embodiments, baseline model curve parameters or peak model curve parameters are neither input by nor exposed to the user prior to the reporting step.

Abstract: A biosensor system determines the presence and/or concentration of an analyte in a sample using one or more calibrated correlation equations. The analysis may be electrochemical, optical, or a combination thereof. The biosensor system may be implemented using a measurement device and a sensor strip. The measurement device applies test signals to a multi-layered encoding area of the sensor strip. Calibration information is determined from the patterns generated by the interaction of the test signals with the multi-layered encoding area.

Abstract: An experimental melting curve is modeled as a sum of a true melting curve and background fluorescence. A deviation function may be generated based upon the experimental melting curve data and a model of a background signal. The deviation function may be generated by segmenting a range of the experimental curve into a plurality of windows. Within each window, a fit between the model of the background signal and the experimental melting curve data may be calculated. The deviation function may be formed from the resulting fit parameters. The deviation function may include background signal compensation and, as such, may be used in various melting curve analysis operations, such as data visualization, clustering, genotyping, scanning, negative sample removal, and the like. The deviation function may be used to seed an automated background correction process. A background-corrected melting curve may be further processed to remove an aggregation signal.

Abstract: Chromatograms and mass spectra produced by an LC/MS system are analyzed by creating a two-dimensional data matrix of the spectral and chromatographic data. The two-dimensional matrix can be created by placing the spectra generated by the mass spectrometer portion of the LC/MS system in successive columns of the data matrix. In this way, the rows of the data matrix correspond to chromatographic data and the columns of the data matrix correspond to the spectra. A two-dimensional filter is specified and applied to the data matrix to enhance the ability of the system to detect peaks associated with ions. The two-dimensional filter is specified according to desired criteria. Rank-1 and rank-2 filters can be specified to improve computational efficiency. One method of applying the two-dimensional filter is through convolution of the data matrix with the two-dimensional filter to produce an output data matrix. Peaks corresponding to detected ions are identified in the output data matrix.

Abstract: A limited number of sensors are placed at selected locations in order to achieve equitable coverage levels to all locations that need to be monitored. The coverage level provided to any specific location depends on all sensors that monitor the location and on the properties of the sensors, including probability of object detection and probability of false alarm. These probabilities may depend on the monitoring and monitored locations. An equitable coverage to all locations is obtained by finding the lexicographically largest vector of coverage levels, where these coverage levels are sorted in a non-decreasing order. The method generates a lexicographic maximin optimization model whose solution provides equitable coverage levels. In order to facilitate computations, a nonlinear integer optimization model is generated whose solution provides the same coverage levels as the lexicographic maximin optimization model.

Abstract: The invention provides molecular markers that are associated with the progression of chronic myeloid leukemia (CML), and methods and computer systems for monitoring the progression of CML in a patient based on measurements of these molecular markers. The present invention also provides CML target genes, and methods and compositions for treating CML patients by modulating the expression or activity of these CML target genes and/or their encoded proteins. The invention also provides genes that are associated with resistance to imatinib mesylate (Gleevec™) treatment in CML patients, and methods and compositions for determining the responsiveness of a CML patient to imatinib mesylate treatment based on measurements of these genes and/or their encoded proteins. The invention also provides methods and compositions for enhancing the effect of Gleevec™ by modulating the expression or activity of these genes and/or their encoded proteins.

Abstract: A spectrometric system has a primary channel with a signal waveform and a reference channel with a signal waveform. A digital representation of the primary signal waveform and a digital representation of the reference signal waveform to provide a digital output representing the primary signal at datum points synchronized with the reference signal are processed by computing the Fourier transform of the primary signal waveform and using a fast reverse non-uniform discrete Fourier Transform technique to compute the reverse non-uniform discrete Fourier transform of the Fourier transform of the primary signal waveform to provide the digital output representing the primary signal at datum points synchronized with the reference signal.

Abstract: A method for analyzing a multi-channel chromatogram is realized for accurately resolving overlapping peaks on a multi-channel chromatogram to permit analysis of the composition of a sample. First, components of overlapping peaks are specified. A data matrix Dij is determined, and compressed in the wavelength direction to obtain a data matrix vector Di. Next, the two-dimensional data is deconvoluted, final standard deviation s0 is registered, and the deconvoluted two-dimensional data is reconvoluted to a retention intensity matrix. A quantitative spectral intensity matrix is computed, components are identified, and the identified components are quantified. Subsequently, an eigenvalue problem is solved, and the number n of components is estimated. The deconvolution and computation of the eigenvalue problem are iteratively executed until the peaks are isolated. Then, elution profiles are calculated, the components are identified, and the identified components are quantified.

Abstract: Methods and algorithms are presented that implement linear algebraic techniques for rapidly estimating chemical similarities for several popular measures. The methods of the present invention reflect source similarity measures for both Tanimoto calculation and rank ordering. After a precalculation step on a database, the methods of the present invention afford several orders of magnitude of speedup in database screening. The present invention also provides an asymptotic speedup for large similarity matrix construction problems, reducing the number of conventional slow similarity evaluations required from quadratic to linear scaling.

Abstract: A data processing system that facilitates the buying and selling of specialty chemicals. A uniform standard and specification is established for each specialty chemical that is being offered for sale via the system. The uniform standard and specification is advantageously supplier independent so that a prospective purchaser can directly compare offerings from different suppliers. A prospective purchaser defines a requirement for a specialty chemical that it wishes to purchase. The requirement, which defines acceptable ranges for the characteristics that make up the standard, is input into the data processing system. The requirement is compared, in the data processing system, with analyses of batches of the specialty chemical that are available for purchase through the data processing system in an attempt to find a batch that satisfies the requirement. An indicium of a batch satisfying the requirement is output, from the data processing system, to the prospective purchaser.

Abstract: Various embodiments of methods for analyzing proximity binding assay (PBA) data are disclosed. Proximity binding assays as a class of analyses offer the advantages of the sensitivity and specificity of biorecognition binding, along with the exponential signal amplification offered by a variety of oligonucleotide amplification reactions, such as the polymerase chain reaction (PCR). However, as various proximity binding assays have reaction kinetics governed by an additional step of the binding of a biorecognition probe (BRP) with a target molecule, there is a need for methods for the analysis of PBA data that are particularly suited to the unique characteristics of such data.

Abstract: Systems and methods for normalizing detected emission data collected in real-time polymerase chain reaction (RT-PCR) and other reactions, are provided. In some embodiments, a sample plate can be loaded with a fluorescent dye and subjected to a real-time PCR reaction. During the initial cycles, detected emissions that correspond to the background signal contributed by the plate, buffer, and other non-reactant pieces of the reaction system and chemistry can be identified. The raw emission data can be normalized by dividing the emission data by the identified baseline signal. According to various embodiments, the normalized amplification profile can normalize to an initial value of 1, because the actual signal emerges from the baseline at the point exponential growth begins. A normalized amplification profile based on a ratio to the baseline can create a more uniformly scaled amplification curve across different samples, filters, wells, dyes, or machines.

Abstract: Methods for using modified single wall carbon nanotubes (“SWCNTs”) to detect presence and/or concentration of a gas component, such as a halogen (e.g., Cl2), hydrogen halides (e.g., HCl), a hydrocarbon (e.g., CnH2n+2), an alcohol, an aldehyde or a ketone, to which an unmodified SWCNT is substantially non-reactive. In a first embodiment, a connected network of SWCNTs is coated with a selected polymer, such as chlorosulfonated polyethylene, hydroxypropyl cellulose, polystyrene and/or polyvinylalcohol, and change in an electrical parameter or response value (e.g., conductance, current, voltage difference or resistance) of the coated versus uncoated SWCNT networks is analyzed. In a second embodiment, the network is doped with a transition element, such as Pd, Pt, Rh, Ir, Ru, Os and/or Au, and change in an electrical parameter value is again analyzed. The parameter change value depends monotonically, not necessarily linearly, upon concentration of the gas component.

Abstract: A method of extracting and analyzing a data set from a flow cytometer system of the preferred embodiment comprises the steps of (1) running a sample and saving all collected raw data, (2) viewing raw (or “unmodified”) data, (3) modifying the raw data (e.g., scaling and/or culling the raw data), (4) reviewing and saving the modified data, and (5) exporting the saved data. Once the sample has been run and all collected data have been saved, the user can repeat the steps of modifying the raw data, saving the modified data, and exporting the saved data as many times as necessary and/or desirable.

Abstract: A method of processing Fourier Transform Mass Spectrometry (FTMS) data includes performing a Fourier Transform of a part of a time domain transient and identifying from that transformed data signal peaks representative of the presence of ions. After peak identification, the full transient is then transformed, and the peaks identified in the partial transient transform are used to locate true peaks in the transformed full transient. The number of ‘false’ peaks resulting from random noise has been found to correlate to the resolution, so that using a partial transient to identify true peaks reduces the risk of false peaks being included; nevertheless this information can then be applied to the full data set when transformed. As an alternative, different parts of the full data set can be transformed and then correlated; because any noise will be random, false peaks should occur at different places in the two partial transforms.