Ronald L Parsons

US Patent:

7193581, Mar 20, 2007

Filed:

May 13, 2005

Appl. No.:

11/128284

Inventors:

Jeremy Tyler - Fort Collins CO, US
Ronald D. Parsons - Longmont CO, US
Jim Schilling - Lonetree CO, US

Assignee:

Miltope Corporation - Hope Hull AL

International Classification:

H01Q 1/24
H01Q 1/42

US Classification:

343872, 343873, 343702

Abstract:

An antenna for wireless communication is integrated into an external member, for example, a molded bumper, on handheld or other portable electronic equipment. The external member is attached to an external surface of electronic equipment, providing shock isolation and protection for the equipment and the antenna. A method of mounting an antenna on portable electronic equipment for enabling wireless communication by the portable electronic equipment comprises mounting on the portable electronic equipment an energy-dissipating structure made of a resilient material, and positioning the antenna in the energy-dissipating structure.

US Patent:

20040115683, Jun 17, 2004

Filed:

Feb 9, 2004

Appl. No.:

10/470211

Inventors:

June Medford - Fort Collins CO, US
Ronald Parsons - Fort Collins CO, US
Aaron Reeves - Loveland CO, US

International Classification:

C12Q001/68
G06F019/00
G01N033/48
G01N033/50

US Classification:

435/006000, 702/020000

Abstract:

The present invention provides methods, composition, software and apparatus for in vivo analysis of gene expression and biological function in plants and animals. The invention also provides materials and methods for rapid analysis of data, allowing the methods and compositions of the invention to be used in a high throughput manner. The materials include an optical coherence microscope, the use and identification of detectable OCM substances, and machine readable code that converts OCM signal to binary data and then to a visual image, by which the expression of genes in vivo can be visualized. The present method results in the creation of genomic-scale, computer screenable databases of gene expression that include spatial, temporal, and quantitative data about gene expression in vivo.