Amber D Taylor

US Patent:

20110003308, Jan 6, 2011

Filed:

Mar 18, 2009

Appl. No.:

12/920404

Inventors:

Kathy L. Rowlen - Boulder CO, US
Amber W. Taylor - Boulder CO, US

Assignee:

INDEVR, INC. - Boulder CO

International Classification:

C12Q 1/68
C12P 19/34

US Classification:

435 6, 435 915

Abstract:

There is described a new class or type of initiators for polymerization as a means of signal enhancement, nanoparticle initiators, and methods for amplifying signal resulting from recognition events, thereby enhancing the detection of those recognition events. Methods include amplification achieved through polymerization using a nanoparticle initiator conjugated recognition element that is not consumed during the reaction. The polymer formed as a result of the absorption of light by the nanoparticle initiator and introduction of reactive species into a surrounding polymerizable monomer solution occurs in a spatially-limited region directly surrounding the nanoparticle initiator and is indicative of the recognition event(s). In one embodiment, a semiconductor quantum dot nanoparticle initiator is utilized. In another embodiment, a metal nanoparticle is utilized. In another embodiment, the signal is detected without instrumentation. In yet another embodiment, the signal is detected via a transmission-based instrument which captures an image of the formed polymer.

US Patent:

20180330056, Nov 15, 2018

Filed:

Jun 30, 2016

Appl. No.:

15/740756

Inventors:

- Boulder CO, US
Amber W. TAYLOR - Boulder CO, US
Andrew W. SMOLAK - Boulder CO, US
Erica Dawson TENENT - Boulder CO, US
Rebecca H. BLAIR - Boulder CO, US
Kathy L. ROWLEN - Boulder CO, US

International Classification:

G06F 19/24
G06N 3/08
G06F 19/22
G06F 19/20
G06F 19/18

Abstract:

The invention provides microarray systems and methods for pathogen identification and characterization. Aspects of the invention implement supervised learning for microarray data analysis to enhance the accuracy and scope of genomic and diagnostic information obtained. Embodiments of the invention, for example, utilize structured logical combinations of the output of independent supervised learning algorithms, such as artificial neural network (ANN) algorithms, to provide an efficient and rapid pathway to clinically and epidemiologically relevant diagnostic information.