Abstract: In various embodiments, the present disclosure describes methods and systems for detecting microbes in a sample. The methods are generally applicable to quantifying the number of target bacteria in a sample counted from a detection region of a flow cytometer histogram. The detection methods can be employed in the presence of other microorganisms and other non-target microbe components to selectively quantify the amount of a target microbe. The methods are advantageous over those presently existing for testing of foodstuffs and diagnostic evaluation in their speed, accuracy and ease of use. Various swab collection devices and kits useful for practicing the present disclosure are also described herein.

Abstract: Methods for detecting one or more target bacteria in a test sample are provided. It is shown herein that photosensitizers combined with intense light exposure reduce fluorescing background due to non-bacterial particles. This permits detection of subsequently labeled target bacterial cells (e.g., using a fluorescently labeled antibody) against a largely black background. In particular examples, the methods include incubating the test sample in a growth medium that permits growth of bacteria present in the sample, contacting the sample with a photo-sensitizer; exposing the sample to light under conditions sufficient for the photo-sensitizer to photobleach contaminating non-bacterial particulates present in the sample. The bacteria can then be substantially separated from the sample, thereby generating an isolated bacterial sample. The method can also include contacting the isolated bacterial sample with a binding agent specific for the one or more target bacteria, and detecting the one or more target bacteria.

Abstract: A system and method for preprocessing magnetic resonance spectroscopy (MRS) data of brain tissue for pattern-based diagnostics is disclosed. The MRS preprocessing system includes an MRS preprocessing module that executes an operation that normalizes MRS spectrum data, recalibrates and scales the normalized MRS spectrum data, and then renormalizes the scaled MRS spectrum data. The resulting preprocessed MRS data is used to assist in identifying abnormalities in tissues shown in MRS scans.

Abstract: A system and method for preprocessing magnetic resonance spectroscopy (MRS) data of brain tissue for pattern-based diagnostics is disclosed. The MRS preprocessing system includes an MRS preprocessing module that executes an operation that normalizes MRS spectrum data, recalibrates and scales the normalized MRS spectrum data, and then renormalizes the scaled MRS spectrum data. The resulting preprocessed MRS data is used to assist in identifying abnormalities in tissues shown in MRS scans.

Abstract: Disclosed is a mass spectrometer for analyzing a sample that has or is suspected of having microorganisms. The disclosed mass spectrometer has been uniquely configured to include a sample platform which functions as a counter electrode or discharge electrode and a surface to provide the sample to be analyzed. The mass spectrometer also includes an ion source positioned adjacent to the sample platform for ionizing and volatizing molecules within the sample, wherein the sample platform and the ion source are positioned such that during operation of the mass spectrometer an electrical discharge takes place between the ion source and the sample platform. Also disclosed are methods for generating a mass spectrum profile/fingerprint of a sample. The methods include positioning a sample platform having a sample adjacent to an ion source.

Abstract: A system and method for preprocessing magnetic resonance spectroscopy (MRS) data of brain tissue for pattern-based diagnostics is disclosed. The MRS preprocessing system includes an MRS preprocessing module that executes an operation that normalizes MRS spectrum data, recalibrates and scales the normalized MRS spectrum data, and then renormalizes the scaled MRS spectrum data. The resulting preprocessed MRS data is used to assist in identifying abnormalities in tissues shown in MRS scans.

Abstract: Disclosed is a mass spectrometer for analyzing a sample that has or is suspected of having microorganisms. The disclosed mass spectrometer has been uniquely configured to include a sample platform which functions as a counter electrode or discharge electrode and a surface to provide the sample to be analyzed. The mass spectrometer also includes an ion source positioned adjacent to the sample platform for ionizing and volatizing molecules within the sample, wherein the sample platform and the ion source are positioned such that during operation of the mass spectrometer an electrical discharge takes place between the ion source and the sample platform. Also disclosed are methods for generating a mass spectrum profile/fingerprint of a sample. The methods include positioning a sample platform having a sample adjacent to an ion source.

Abstract: In various embodiments, the present disclosure describes methods and systems for detecting microbes in a sample. The methods are generally applicable to quantifying the number of target bacteria in a sample counted from a detection region of a flow cytometer histogram. The detection methods can be employed in the presence of other microorganisms and other non-target microbe components to selectively quantify the amount of a target microbe. The methods are advantageous over those presently existing for testing of foodstuffs and diagnostic evaluation in their speed, accuracy and ease of use. Various swab collection devices and kits useful for practicing the present disclosure are also described herein.

Abstract: Structure-activity methods based on molecular descriptors that are a combination of structural information about the through-space and through-bond relationships between components of a molecule's structure and spectral data attributable to those components are disclosed. In some embodiments, a molecule is described by multiple sets of such descriptors to account for flexibility in the structure of the molecule. In a particularly disclosed embodiment, predicted 13C—13C COSY data and 13C—13C distance data are used as descriptors. Models of molecular properties may be established using the disclosed spectral data-activity methods and used to predict the properties of molecules.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: A method for reproducibly analyzing mass spectra from different sample sources is provided. The method deconvolutes the complex spectra by collapsing multiple peaks of different molecular mass that originate from the same molecular fragment into a single peak. The differences in molecular mass are apparent differences caused by different charge states of the fragment and/or different metal ion adducts and/or reactant products of one or more of the charge states. The deconvoluted spectrum is compared to a library of mass spectra acquired from samples of known identity to unambiguously determine the identity of one or more components of the sample undergoing analysis.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: The present invention provides a novel approach to cancer therapy and diagnostics that utilizes nanotubes and other similar nanostructures as both an indirect source of radiation therapy (BNCT), and as delivery vehicles for other types of radio- and chemo-therapeutic materials, as well as imaging agents for diagnostic purposes.

Abstract: A food quality indicator device an indicator compound provided on a substrate. The indicator compound changes color due to the presence of volatile compounds, such as volatile bases, in spoiled food, even when the food is frozen. Alternatively, the indicator compound detects the presence of an unwanted amine-producing biological agent, such as bacteria or fungi. The indicator compound is typically contained within a polymeric matrix disposed on the substrate. Examples of suitable indicator compounds include halogenated azo dyes, sulfonated xanthene dyes, and sulfonated hydroxy-functional triphenylmethane dyes.

Abstract: Methods of compensating for drift in fingerprint spectra of microorganisms caused by changes in their environment are disclosed. These methods of compensating for drift permit identification of microorganisms from their fingerprint spectra regardless of the environment from which the microorganisms are obtained. Furthermore, the disclosed methods may be used to construct coherent databases of fingerprint spectra that may be expanded even though the standard database conditions are no longer experimentally achievable. In particular embodiments, methods of compensating for drift in pyrolysis mass spectra, constructing coherent pyrolysis mass spectral databases, and identifying bacteria from their pyrolysis mass spectra are disclosed.

Abstract: Methods are disclosed for establishing a quantitative relationship between spectral properties of molecules and a biological, chemical, or physical endpoint of the molecules. Spectral data including data from nuclear magnetic resonance, mass spectrometric, infrared, and ultraviolet-visible techniques are used along with endpoint data to train a pattern-recognition program. The training yields a spectral data-activity relationship that may be used to predict the endpoint value of a molecule from its spectral data alone. Methods for rapidly screening isolated compounds or mixtures of compounds based upon their spectral data are included.

Abstract: Methods are disclosed for establishing a quantitative relationship between spectral properties of molecules and a biological, chemical, or physical endpoint of the molecules. Spectral data including data from nuclear magnetic resonance, mass spectrometric, infrared, and ultraviolet-visible techniques are used along with endpoint data to train a pattern-recognition program. The training yields a spectral data-activity relationship that may be used to predict the endpoint value of a molecule from its spectral data alone. Methods for rapidly screening isolated compounds or mixtures of compounds based upon their spectral data are included.