Matthew V Schulmerich

US Patent:

20090219523, Sep 3, 2009

Filed:

Feb 23, 2006

Appl. No.:

12/066915

Inventors:

Michael D. Morris - Ann Arbor MI, US
William F. Finney - Chicago IL, US
Matthew Schulmerich - Jackson MI, US

Assignee:

THE REGENTS OF THE UNIVERSITY OF MICHIGAN - Ann Arbor MI

International Classification:

G01J 3/00

US Classification:

356300

Abstract:

In a method for measuring a composition of a sample, an illumination surface area of the sample is illuminated using a light source, and light from a plurality of emitting surface areas of the sample is received, each emitting surface area at a different location, the received light scattered by the sample. A cumulative area of the illumination surface area is greater than a cumulative area of two emitting surface areas of the plurality of emitting surface areas. For each emitting surface area, spectral content information associated with received light corresponding to that emitting surface area is determined, and composition information corresponding to a sub-surface region of the sample is determined based on the determined spectral content information. Different shapes of illumination surface areas as well as the plurality of emitting surface areas may advantageously be utilized for various specimen or sample geometries or illumination sources.

US Patent:

20120092663, Apr 19, 2012

Filed:

Oct 14, 2011

Appl. No.:

13/273684

Inventors:

Linda S. Kull - Charleston IL, US
Rohit Bhargava - Urbana IL, US
Bridget Owen - Champaign IL, US
Matthew Schulmerich - Champaign IL, US
Dennis Thompson - Mahomet IL, US
John McKinney - Champaign IL, US

International Classification:

G01J 3/44
G01N 21/01

US Classification:

356301, 356244

Abstract:

The disclosure provides instrumentation for the Raman spectroscopy analysis of seeds or grains, which can be used to determine the composition of the seed, such as its protein and oil content. In some examples the instrumentation includes an illumination device that emits light in the near infrared range, a sample holder to hold the seeds, and a collection device (e.g., Raman spectrograph) that captures the lights emitted by the seeds. Methods of determining the composition of seeds, such as soybeans, using Raman spectroscopy, are also provided.

US Patent:

20170247797, Aug 31, 2017

Filed:

Feb 26, 2016

Appl. No.:

15/055291

Inventors:

- Schenectady NY, US
Hongqiang Chen - Niskayuna NY, US
Matthew Vaughan Schulmerich - Niskayuna NY, US
Jason Christopher Gritti - West Chester OH, US

International Classification:

C23F 4/00

Abstract:

A system and method for performing laser induced breakdown spectroscopy during laser ablation of a coating, such as a TBC coating, deposited on a surface of a component, particularly to enable obtained spectrometry signals of the ablated coating to be used to monitor and control the laser ablation removal process in real-time. The system includes a laser energy source and a scan head interconnected with the laser energy source to receive a laser beam therefrom and then direct the laser beam onto the surface of the coated component. Collection optics collect radiation emitted from a laser-induced plasma generated by the laser beam at the surface of the coated component. The system is further equipped to spectrally analyze the radiation and generate a feedback signal for control and optimization of one or more operational parameters of the laser energy source in real-time.

US Patent:

20170130968, May 11, 2017

Filed:

Nov 10, 2015

Appl. No.:

14/936815

Inventors:

- Schenectady NY, US
Zhexiong Tang - Niskayuna NY, US
Manuel Alfredo Palacios - Clifton Park NY, US
Igor Tokarev - Waterford NY, US
Matthew Vaughan Schulmerich - Niskayuna NY, US

International Classification:

F24C 15/20
F24C 15/18
F24C 7/08

Abstract:

A method for monitoring cooking in an oven appliance includes drawing cooking vapors or gases from a cooking chamber to a fluid analysis assembly and exposing a plurality of fluid sensors of the fluid analysis assembly to the cooking vapors or gases. The method also includes establishing a response pattern of the plurality of fluid sensors with a machine or statistical learning model(s) and determining a cooking status of the food item within the cooking chamber based upon the response pattern of the plurality of fluid sensors.