Abstract: A method for determining a quality condition of an agricultural product comprises: receiving a received light at a light detector, the received light comprising reflected, scattered, refracted, and/or deflected light from the agricultural product; transmitting the received light to a spectrometer; producing agricultural product (AP) spectral data of the received light using the spectrometer; with a computer in electrical communication with the spectrometer, comparing the AP spectral data to reference spectral data to determine whether the agricultural product has the quality condition, the reference spectral data corresponding to known quality conditions of the agricultural product; and with the computer, generating an output signal corresponding to the quality condition of the agricultural product.
Abstract: A device and system for non-invasively measuring wavelength-dependent changes in optical absorption of brain tissue damaged by CTE, TBI, concussion, repetitive trauma, and/or Lou Gehrig's disease in comparison to signals from healthy normal tissue for a subject in vivo. The brain, tissues, and fluids superficial to the brain are trans-cranially illuminated by light source(s) in low-absorption spectral windows for tissue in the visible and/or near-infrared parts of the spectrum. Optode(s) are disposed at predetermined radial distance(s) from a light output to collect the scattered and/or deflected signal from the surface of the head. The predetermined radial distance from the light output to the optode is correlated with the depth of tissue penetration for the light collected by the optode. A spectrometer and computer analyze the collected light for characteristic optical signatures of the brain tissue damage utilizing the absorbance and/or reflectance and/or transmission spectra generated as a result.
Type:
Grant
Filed:
July 18, 2018
Date of Patent:
May 9, 2023
Assignee:
Headwall Photonics, Inc.
Inventors:
David Bannon, Domhnull Granquist-Fraser, Paul Bartel, Kevin Didona, Carson Roberts, Blair Simon
Abstract: A histamine concentration level of a fish item is determined by illuminating the fish and analyzing the resulting spectral image data. Specifically, an algorithm is applied to the fish image data so that a histamine concentration value is calculated for every pixel of the fish image. A corresponding histamine concentration image of the fish is produced based on the collective histamine concentration values. The fish is accepted or rejected based on the collective histamine concentration values and/or the histamine concentration image. The histamine concentration image may be used to identify specific parts of a fish fillet that exceed (or do not exceed) a predetermined histamine concentration level.
Type:
Grant
Filed:
September 13, 2013
Date of Patent:
November 3, 2015
Assignees:
The United States of America, as represented by the Secretary of Agriculture, Headwall Photonics, Inc.
Inventors:
Moon S. Kim, Kuanglin Chao, David P. Bannon
Abstract: A multi-spectrum, multi-channel imaging spectrometer includes two or more input slits or other light input devices, one for each of two or more input channels. The input slits are vertically and horizontally displaced, with respect to each other. The vertical displacements cause spectra from the two channels to be vertically displaced, with respect to each other, on a single image sensor on a stationary image plane. The horizontal displacements cause incident light beams from the respective input channels to strike a convex grating at different respective incidence angles and produce separate spectra having different respective spectral ranges. A retroflective spectrometer includes a convex grating that, by diffraction, disperses wavelengths of light at different angles and orders approximately back along an incident light beam. A single concave mirror reflects both the input channel and the dispersed spectrum.
Type:
Grant
Filed:
August 19, 2005
Date of Patent:
April 14, 2009
Assignee:
Headwall Photonics, Inc.
Inventors:
Jason P. Julian, Kevin M. Didona, Darrin P. Milner, Thomas L. Mikes, Scott D. Milligan, David P. Bannon