2008 to 2000 Principal Scientistself employeed Milford, CT 2010 to 2012 Software Consulting - Algorithm developmentCambridge Research & Instrumentation
2004 to 2008 Senior Research Scientist
Education:
University of Arizona Tucson, AZ 2000 to 2004 Doctorate in Biomedical EngineeringUniversity of Texas Austin, TX 1998 to 2000 Master of Electrical Engineering in Biomedical Engineering/OpticsTexas A&M University College Station, TX 1994 to 1998 Bachelor of Biomedical Engineering in Electrical Engineering
- South San Francisco CA, US Kirk Gossage - Pacifica CA, US Sam Kavusi - Menlo Park CA, US Prachi Shah - South San Francisco CA, US
International Classification:
A61B 3/10 A61B 3/00 A61B 5/00
Abstract:
Disclosed is a headset for monitoring periocular humidity, the headset including a housing configured to be positioned on a user's face and defining a periocular air space. The headset includes a humidity sensor configured to measure a humidity of air within the periocular air space, and an ophthalmic testing unit configured to measure a physiological parameter of an eye of the user. The headset further includes a processor coupled to the humidity sensor and the ophthalmic testing unit. The processor is configured to receive the measured humidity and the measured physiological parameter, and determine an ophthalmic condition based on the measured humidity and the measured physiological parameter.
Systems, Methods, And Apparatuses For Digital Histopathological Imaging For Prescreened Detection Of Cancer And Other Abnormalities
- Tampa FL, US James Monaco - Odessa FL, US Nishant Verma - Tampa FL, US David Scott Harding - Tampa FL, US Maykel Orozco Monteagudo - Tampa FL, US Kirk William Gossage - Wesley Chapel FL, US Janani Sivasankar Babu - Tampa FL, US
International Classification:
G06K 9/00 G01N 33/483 G06K 9/46 G06T 7/00
Abstract:
Systems, methods, and apparatuses for analyzing histopathology images to determine the presence of certain predetermined abnormalities. The system processes histopathology images to identify/highlight regions of interest (e.g., a region that may comprise parts of a tumor, cancerous cells, or other predetermined abnormality) for subsequent review by a pathologist or other trained professional. For example, the system may process histopathology images of H&E-stained lymph node tissue to identify potentially cancerous cells within the histopathology images.
Microscopy System With Auto-Focus Adjustment By Low-Coherence Interferometry
- Newton NJ, US Jörn Wollenzin - Lübeck, DE Ross Johnstone - Oak Hill VA, US Kirk Gossage - Austin TX, US Jeffrey S. Brooker - Oak Hill VA, US Jason Mills - Austin TX, US James Jiang - Hackettstown NJ, US Dierck Hillmann - Lübeck, DE
Disclosed are several technical approaches of using low coherence interferometry techniques to create an autofocus apparatus for optical microscopy. These approaches allow automatic focusing on thin structures that are positioned closely to reflective surfaces and behind refractive material like a cover slip, and automated adjustment of focus position into the sample region without disturbance from reflection off adjacent surfaces. The measurement offset induced by refraction of material that covers the sample is compensated for. Proposed are techniques of an instrument that allows the automatic interchange of imaging objectives in a low coherence interferometry autofocus system, which is of major interest in combination with TDI (time delay integration) imaging, confocal and two-photon fluorescence microscopy.
Microscopy System With Auto-Focus Adjustment By Low-Coherence Interferometry
- Newton NJ, US Jörn Wollenzin - Lubeck, DE Ross Johnstone - Oak Hill VA, US Kirk Gossage - Austin TX, US Jeffrey S. Brooker - Oak Hill VA, US Jason Mills - Austin TX, US James Jiang - Hackettstown NJ, US Dierck Hillmann - Lubeck, DE
International Classification:
G02B 21/24 G02B 21/26 G02B 5/12 G02B 21/08
Abstract:
Disclosed are several technical approaches of using low coherence interferometry techniques to create an autofocus apparatus for optical microscopy. These approaches allow automatic focusing on thin structures that are positioned closely to reflective surfaces and behind refractive material like a cover slip, and automated adjustment of focus position into the sample region without disturbance from reflection off adjacent surfaces. The measurement offset induced by refraction of material that covers the sample is compensated for. Proposed are techniques of an instrument that allows the automatic interchange of imaging objectives in a low coherence interferometry autofocus system, which is of major interest in combination with TDI (time delay integration) imaging, confocal and two-photon fluorescence microscopy.
A method for matching one or more channels to a reference channel in a multiple-channel detector having a digital output, the method including: receiving an analog-to-digital unit (ADU) input value from the multiple-channel detector for each channel; and replacing the ADU input value by an output value corresponding to each channel from a look up table (LUT); wherein the LUT is created by taking a relative intensity ratio of signals from each channel compared to the reference channel over a range of voltage values; calculating a signal value on the detector that generates a specific ADU value across the entire ADU range of the detector; interpolating the relative intensity ratios to obtain ratios corresponding to the calculated signal values for each channel; and dividing the each of the specific ADU value by the corresponding interpolated ratio to obtain the corresponding output value for each channel.
- Hopkinton MA, US Paul J. Cronin - Allen TX, US Kirk William Gossage - Milford CT, US Clifford C. Hoyt - Wellesley MA, US
International Classification:
G01N 33/483 G01N 21/64 G01N 21/25
US Classification:
4352887
Abstract:
The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components.
- Hopkinton MA, US Paul J. Cronin - Allen TX, US Kirk William Gossage - Milford CT, US Clifford C. Hoyt - Wellesley MA, US
Assignee:
Cambridge Research & Instrumentation, Inc. - Hopkinton MA
International Classification:
G01N 33/50
US Classification:
4352887
Abstract:
The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components.