Brian Troy Hall

6778263, Aug 17, 2004

Jan 16, 2003

10/348193

William E. Ortyn - Bainbridge Island WA
David A. Basiji - Seattle WA
Keith L. Frost - Seattle WA
Brian E. Hall - Seattle WA
Michael J. Seo - Mercer Island WA

Amnis Corporation - Seattle MA

G01P 336

356 28, 356 285

When utilized in a flow imaging instrument, calibration beads provide a known data source that can be employed in various self-diagnostic, calibration and quality metric applications for the both the optical system of the flow imaging instrument, as well as the flow cell of the flow imaging instrument. Such data can be used to determine point spread functions associated with an imaging system, to determine a sensitivity of an imaging system, and to determine a focal point of the imaging system. Imagery collected from calibration beads can be used to determine core size and stability and TDI/flow speed synchronization. Calibration beads can be beneficially employed to enable stable system operation, even when very low sample concentration, or very small sample sizes are to be analyzed.

6906792, Jun 14, 2005

Jun 10, 2004

10/865664

William E. Ortyn - Bainbridge Island WA, US
David A. Basiji - Seattle WA, US
Keith L. Frost - Seattle WA, US
Brian E. Hall - Seattle WA, US
Michael J. Seo - Seattle WA, US

Amnis Corporation - Seattle WA

G01P003/36

356 285, 356 28

When utilized in a flow imaging instrument, calibration beads provide a known data source that can be employed in various self-diagnostic, calibration and quality metric applications for the both the optical system of the flow imaging instrument, as well as the flow cell of the flow imaging instrument. Such data can be used to determine point spread functions associated with an imaging system, to determine a sensitivity of an imaging system, and to determine a focal point of the imaging system. Imagery collected from calibration beads can be used to determine core size and stability and TDI/flow speed synchronization. Calibration beads can be beneficially employed to enable stable system operation, even when very low sample concentration, or very small sample sizes are to be analyzed.

7522758, Apr 21, 2009

Feb 1, 2006

11/344941

William E. Ortyn - Bainbridge Island WA, US
David A. Basiji - Seattle WA, US
Philip Morrissey - Bellevue WA, US
Thaddeus George - Seattle WA, US
Brian Hall - Seattle WA, US
Cathleen Zimmerman - Bainbridge Island WA, US
David Perry - Woodinville WA, US

Amnis Corporation - Seattle WA

G06K 9/00

382133

Multimodal/multispectral images of a population of cells are simultaneously collected. Photometric and/or morphometric features identifiable in the images are used to separate the population of cells into a plurality of subpopulations. Where the population of cells includes diseased cells and healthy cells, the images can be separated into a healthy subpopulation, and a diseased subpopulation. Where the population of cells does not include diseased cells, one or more ratios of different cell types in patients not having a disease condition can be compared to the corresponding ratios in patients having the disease condition, enabling the disease condition to be detected. For example, blood cells can be separated into different types based on their images, and an increase in the number of lymphocytes, a phenomenon associated with chronic lymphocytic leukemia, can readily be detected.

7574322, Aug 11, 2009

May 10, 2005

11/126028

Debi Prasad Mishra - Bellevue WA, US
Brian R. Hall - Seattle WA, US

Microsoft Corporation - Redmond WA

G06F 11/30
G06F 11/00

702182, 702183, 702184, 702185, 702188, 709223, 709224, 714 4

Automated client device management techniques are described. In an implementation, a method is described which includes collecting heuristic data from a plurality of client device over a network. The heuristic data describes a plurality of health considerations that include reliability, performance and security of the plurality of client devices. The collecting of the heuristic data is performed periodically and automatically without intervention from users of the plurality of client devices. A remedy is generated corresponding to an issue identified from the heuristic data regarding at least one of the health considerations that cures the issue and addresses one or more other health considerations indicated in the heuristic data.

7634125, Dec 15, 2009

Aug 20, 2008

12/194842

William E. Ortyn - Bainbridge Island WA, US
David A. Basiji - Seattle WA, US
Philip Morrissey - Bellevue WA, US
Thaddeus George - Seattle WA, US
Brian Hall - Seattle WA, US
Cathleen Zimmerman - Bainbridge Island WA, US
David Perry - Woodinville WA, US

Amnis Corporation - Seattle WA

G06K 9/00

382133, 356326

Multimodal/multispectral images of a population of cells are simultaneously collected. Photometric and/or morphometric features identifiable in the images are used to separate the population of cells into a plurality of subpopulations. Where the population of cells includes diseased cells and healthy cells, the images can be separated into a healthy subpopulation, and a diseased subpopulation. Where the population of cells does not include diseased cells, one or more ratios of different cell types in patients not having a disease condition can be compared to the corresponding ratios in patients having the disease condition, enabling the disease condition to be detected. For example, blood cells can be separated into different types based on their images, and an increase in the number of lymphocytes, a phenomenon associated with chronic lymphocytic leukemia, can readily be detected.

7634126, Dec 15, 2009

Jan 29, 2009

12/362170

William E. Ortyn - Bainbridge Island WA, US
David A. Basiji - Seattle WA, US
Philip Morrissey - Bellevue WA, US
Thaddeus George - Seattle WA, US
Brian Hall - Seattle WA, US
Cathleen Zimmerman - Bainbridge Island WA, US
David Perry - Woodinville WA, US

Amnis Corporation - Seattle WA

G06K 9/00

382133, 356326

Multimodal/multispectral images of a population of cells are simultaneously collected. Photometric and/or morphometric features identifiable in the images are used to separate the population of cells into a plurality of subpopulations. Where the population of cells includes diseased cells and healthy cells, the images can be separated into a healthy subpopulation, and a diseased subpopulation. Where the population of cells does not include diseased cells, one or more ratios of different cell types in patients not having a disease condition can be compared to the corresponding ratios in patients having the disease condition, enabling the disease condition to be detected. For example, blood cells can be separated into different types based on their images, and an increase in the number of lymphocytes, a phenomenon associated with chronic lymphocytic leukemia, can readily be detected.

7761912, Jul 20, 2010

Jun 6, 2006

11/422498

Steven C Yee - Renton WA, US
Mauktik H Gandhi - Redmond WA, US
Brian R. Hall - Seattle WA, US
Vikram Kakumani - Redmond WA, US
Michael Mitchell - Marysville WA, US
Tatiana Shubin - Redmond WA, US

Microsoft Corporation - Redmond WA

H04L 29/06

726 11, 726 22

Reputation based firewall policy techniques are described, in which, a computer-implemented method may be employed to collect data from a plurality of clients regarding an application attempting to access a network via the clients. The collected data may be exposed to a community of users to obtain feedback on the application which is used to produce a reputation for the application. The reputation may then be provided to the plurality of clients to determine whether to permit the attempt by the application.

7925069, Apr 12, 2011

Sep 29, 2009

12/569612

William E. Ortyn - Bainbridge Island WA, US
David A. Basiji - Seattle WA, US
Philip Morrissey - Bellevue WA, US
Thaddeus George - Seattle WA, US
Brian Hall - Seattle WA, US
Cathleen Zimmerman - Bainbridge Island WA, US
David Perry - Woodinville WA, US

Amnis Corporation - Seattle WA

G06K 9/00

382133, 356326

Multimodal/multispectral images of a population of cells are simultaneously collected. Photometric and/or morphometric features identifiable in the images are used to separate the population of cells into a plurality of subpopulations. Where the population of cells includes diseased cells and healthy cells, the images can be separated into a healthy subpopulation, and a diseased subpopulation. Where the population of cells does not include diseased cells, one or more ratios of different cell types in patients not having a disease condition can be compared to the corresponding ratios in patients having the disease condition, enabling the disease condition to be detected. For example, blood cells can be separated into different types based on their images, and an increase in the number of lymphocytes, a phenomenon associated with chronic lymphocytic leukemia, can readily be detected.