Abstract:
Methods, systems, and computer program products of fusing Molecular Chemical Imaging (MCI) and Red Green Blue (RGB) images are disclosed herein. A sample is illuminated with illuminating photons which interact with the sample and are used to form MCI and RGB images. The MCI and RGB images are fused by way of mathematical operations to generate a RGB image with a detection overlay.
Abstract:
A system and method for detecting environmental conditions using SWIR hyperspectral imaging. A method may comprise collecting a plurality of interacted photons from at least one location and passing the interacted photons through a tunable filter, filtering the interacted photons into a plurality of wavelength bands. These filtered photons may be detected and analyzed to determine the presence or absence of an environmental condition. A system may comprise at least one collection lens configured to collect at least one plurality of interacted photons from at least one location and a tunable filter for filtering the interacted photons into a plurality of wavelength bands. The system may further comprise a detector configured to detect the filtered photons and generate at least one hyperspectral image representative of the location. The system may further comprise a processor for analyzing the hyperspectral data set and determining the presence or absence of an environmental condition.
Abstract:
Medical imaging systems for use in conjunction with an endoscope are described. Generally, the medical imaging system includes an illumination source configured to generate illuminating photons. The illuminating photons are transmitted to one or more filters configured to filter a first plurality of illuminating photons and generate a first plurality of filtered photons comprising a first passband wavelength and a second plurality of filtered photons comprising a second passband wavelength. A sample is then illuminated with the first plurality of filtered photons and the second plurality of filtered photons to generate a first plurality of interacted photons and a second plurality of interacted photons. One or more detectors are configured to detect the first plurality of interacted photons and the second plurality of interacted photons and generate one or more image data sets.
Abstract:
A system and method for analyzing biological samples, such as dried human blood serum, to determine a disease state such as colorectal cancer (CRC). Using dried samples may hold potential for enhancing localized concentration and/or segmentation of sample components. The method may comprise illuminating at least one location of a biological sample to generate a plurality of interacted photons, collecting the interacted photons and generating at least one Raman data set representative of the biological sample. A system may comprise an illumination source to illuminate at least one location of a biological sample and generate at least one plurality of interacted photons, at least one mirror for directing the interacted photons to a detector. The detector may be configured to generate at least one Raman data set representative of the biological sample. The system and method may utilize a FAST device for multipoint analysis or may be configured to analyze a sample using a line scanning configuration.
Abstract:
The present disclosure provides systems and methods for determining the presence of a target material in a sample. In general terms, the system and method disclosed herein provide collecting interacted photons from a sample having a target material. The interacted photons are passed through a tunable filter to a VIS-NIR detector where the VIS-NIR detector generates a VIS-NIR hyperspectral image representative of the filtered interacted photons. The hyperspectral image of the filtered interacted photons is analyzed by comparing the hyperspectral image of the filtered interacted photons to known hyperspectral images to identify the presence of a target material in a sample. The systems and methods disclosed herein provide easy identification of the presence of a target material in a sample.
Abstract:
A method for analyzing organ samples using hyperspectral imaging comprising illuminating an organ sample to generate interacted photons, collecting the interacted photons and passing the interacted photons through a tunable filter. The filtered interacted photons are detected to generate a hyperspectral image. A brightfield image is generated and associated with the hyperspectral image. Spectra from locations of interest are extracted and analyzed to assess a characteristic of the organ sample. A system may comprise an illumination source to illuminate an organ sample and generate interacted photons, a collection optics for collecting the interacted photons and a tunable filter to filter the interacted photons. A detector is configured to detect the filtered photons and generate at least one hyperspectral image. The detector may also be configured to generate at least one brightfield image representative of the organ sample.
Abstract:
A portable system and method for detecting drug materials. A portable system may comprise at least one collection lens for collecting a plurality of interacted photons, a tunable filter for filtering the photons, and a SWIR detector for generating at least one SWIR data set representative of a first location comprising an unknown sample. A processor may analyze the SWIR data set to associate the unknown material with a known drug material. A method may comprise collecting a plurality of interacted photons, filtering the interacted photons into a plurality of wavelength bands, detecting the filtered photons to generate a SWIR data set and analyzing the SWIR data set to associate an unknown material with a known drug material.