Abstract:
A system and method to provide a diagnosis of the renal disease state of a test renal sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known renal sample and an associated known renal disease state. A test renal sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test Raman data set. The test Raman data set is compared to the plurality of reference Raman data sets using a chemometric technique. Based on the comparison, a diagnosis of a renal disease state of the test renal sample is provided. The renal disease state includes renal oncocytoma or chromophobe renal carcinoma disease state.
Abstract:
Raman scattering of radiation applied to a water sample is used to assess occurrence of a pathogen in the sample. The method is useful for detecting pathogens that are difficult to detect using other methods, such as protozoa. Examples of organisms that can be detected in water samples using these methods include protozoa of the genus Cryptosporidium and the genus Giardia. The methods described herein have important applications, such as for detection of Cryptosporidium organisms in municipal water systems.
Abstract:
Raman molecular imaging (RMI) is used to detect mammalian cells of a particular phenotype. For example the disclosure includes the use of RMI to differentiate between normal and diseased cells or tissues, e.g., cancer cells as well as in determining the grade of said cancer cells. In a preferred embodiment benign and malignant lesions of bladder and other tissues can be distinguished, including epithelial tissues such as lung, prostate, kidney, breast, and colon, and non-epithelial tissues, such as bone marrow and brain. Raman scattering data relevant to the disease state of cells or tissue can be combined with visual image data to produce hybrid images which depict both a magnified view of the cellular structures and information relating to the disease state of the individual cells in the field of view. Also, RMI techniques may be combined with visual image data and validated with other detection methods to produce confirm the matter obtained by RMI.
Abstract:
Raman scattering of radiation applied to a water sample is used to assess occurrence of a pathogen in the sample. The method is useful for detecting pathogens that are difficult to detect using other methods, such as protozoa. Examples of organisms that can be detected in water samples using these methods include protozoa of the genus Cryptosporidium and the genus Giardia. The methods described herein have important applications, such as for detection of Cryptosporidium organisms in municipal water systems.
Abstract:
This disclosure is directed to systems and methods for fusing Raman data with biomarker data to identify a disease and/or the progression of the disease. The system disclosed herein may include an illumination source for generating interacted photons from a biological sample and a detector for detecting the interacted photons to generate a Raman data set. A processor is included to fuse the Raman data set with a biomarker data set to identify a disease and/or a disease progression. The instant disclosure further includes a method comprising illuminating a biological sample to generate interacted photons, and detecting the interacted photons to generate a Raman data set. A biomarker data set is obtained from the biological sample, and the Raman data set is fused with the biomarker data set to generate an index score. The index score correlates with one or more of a disease and a disease progression.
Abstract:
In one embodiment the disclosure relates to a method and a system for determining the corrected wavelength of a photon scattered by a sample. The method includes the steps of determining a wavelength of a photon scattered from a sample exposed to illuminating photons and passed through a tunable filter and correcting the determined wavelength of the photon as a function of the temperature of the tunable filter and as a function of the bandpass set point of the tunable filter. The step of correcting the determined wavelength can further include determining an offset and adding the offset to the determined wavelength of the photon.