Nomadics, Inc.

University of Colorado

Flir Systems, Incorporated

Flir Detection, Inc.

Robert K Shelton

Shiou-Jyh Ja

Brian Strecker

Frederick Gorr Johnson

Brian Dwayne O'Dell

Lloyd Neal Salsman

John L Hall

Henry C Kapteyn

Vu L Nguyen

Margaret Mary Murnane

Eric S Towers

Jun Ye

Long-Sheng Ma

Imaging techniques are provided to determine the presence of trace chemicals corresponding to various materials of interest. In one example, a method includes receiving a test sample and capturing a plurality of infrared images of the test sample. Each infrared image corresponds to a different range of infrared radiation wavelengths. The method also includes determining a spectral profile of the test sample using the infrared images, comparing the determined spectral profile to a known spectral profile of a material of interest, and determining whether the material is present in the test sample based on the comparing. Additional methods and related devices are also provided.

Multispectral thermal imaging for detection of materials of interest

Techniques are disclosed for systems and methods to provide reliable analyte spatial detection systems. An analyte spatial detection system includes an imaging module, a visible light projector, associated processing and control electronics, and, optionally, orientation and/or position sensors integrated with the imaging module and/or the visible light projector. The imaging module includes sensor elements configured to detect electromagnetic radiation in one or more selected spectrums, such as infrared, visible light, and/or other spectrums. The visible light projector includes one or more types of projectors configured project visible light within a spatial volume monitored by the imaging module. The system may be partially or completely portable and/or fixed in place. The visible light projector is used to indicate presence of a detected analyte on a surface near or adjoining the spatial position of the detected analyte.

Analyte spatial detection systems and methods

An optically-powered integrated microstructure pressure sensing system for sensing pressure within a cavity. The pressure sensing system comprises a pressure sensor having an optical resonant structure subject to the pressure within the cavity and having physical properties changing due to changing pressures within the cavity. A substrate supports the optical resonant structure. An input optical pathway evanescently couples light into the optical resonant structure. An output optical pathway collects light from the optical resonance structure. A light source delivers a known light input into the input optical pathway whereby the known light input is evanescently coupled into the optical resonant structure by the input optical pathway and a portion of such light is collected from the optical resonant structure by the output optical pathway. A light detector receives the portion of the light collected from the optical resonant structure, and generates a light signal indicative of such portion of the light collected from the optical resonant structure. A temperature compensation sensor generates a temperature signal indicative of the temperature near the optical resonant structure. A spectrum detection device receives the light signal and temperature signal. The spectrum detection device analyzing the light signal and the temperature signal with a detection algorithm to generating a pressure signal indicative of the pressure within the cavity.

Microresonator-based high-performance high-pressure sensor and system

A system and method for detecting the optical spectrum of an optical input signal. The system includes a tunable optical filter having a microresonator that is tunable across a plurality of states and a processor. The input signal is coupled into the microresonator, which is continuously tuned across a spectral range that is narrow relative to the targeted detection range. Signal information such as center wavelength, power distribution, and power strength are extracted from the measured output intensities resulting from the interaction of the unknown input signal with the tunable resonator at various tuned states. The processor includes a transfer function database with the resonant spectra of the tunable optical filter at predefined states. The processor applies an iterative non-linear deconvolution algorithm, and preferably an accelerated Richardson-Lucy algorithm, to calculate the spectrum of the input signal using the transfer function information and the intensity measurements.

System and deconvolution process for an optical filtering device based on WGM resonance

An optically-powered integrated microstructure pressure sensing system for sensing pressure within a cavity. the pressure sensing system comprises a pressure sensor having an optical resonant structure subject to the pressure within the cavity and having physical properties changing due to changing pressures within the cavity. A substrate supports the optical resonant structure. An input optical pathway evanescently couples light into the optical resonant structure. An output optical pathway collects light from the optical resonance structure. A light source delivers a known light input into the input optical pathway whereby the known light input is evanescently coupled into the optical resonant structure by the input optical pathway and a portion of such light is collected from the optical resonant structure by the output optical pathway. A light detector receives the portion of the light collected from the optical resonant structure, and generates a light signal indicative of such portion of the light collected from the optical resonant structure. A temperature compensation sensor generates a temperature signal indicative of the temperature near the optical resonant structure. A spectrum detection device receives the light signal and temperature signal. The spectrum detection device analyzing the light signal and the temperature signal with a detection algorithm to generating a pressure signal indicative of the pressure within the cavity.

Accurate and efficient synchronization of two pulsed radiation sources (e.g. iwo mode locked lasers) is accomplished in stages. Rough synchronization is accomplished by synchronizing (for example) the fundamental repetition rate of the two lasers. Fine synchronization is accomplished by synchronizing high harmonics of the two lasers. More accurate synchronization may be accomplished by adding more stages, by utilizing light out of a nonlinear laser in which the two beams are crossed, or by utilizing heterodyne beats of the two laser beams. A dc offset signal may added to the control signal generated by the synchronization stages.

Growing community of inventors

Stillwater, OK, United States of America

Robert K Shelton