David D Tran

US Patent:

6711301, Mar 23, 2004

Filed:

Jan 31, 2000

Appl. No.:

09/494745

Inventors:

David Huu Tran - Los Altos CA
Maximino Vasquez - Fremont CA
Daniel Robert Joe - San Jose CA

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

G06K 940

US Classification:

382260, 382261, 382298, 708313

Abstract:

A method and apparatus for block-oriented pixel filtering reduces the number of hardware multipliers required for an image processing operation by increasing the speed of the pixel filter and rearranging the math operations. A sorter is employed in the line buffers so that defined groups of input pixel components are provided to the multipliers of the pixel filter. An accumulator is employed to receive products from the multipliers and assemble output pixels. The savings in gate count from reducing the number of multipliers is greater than additional costs, if any, of the sorter and other logic. The method and apparatus of the invention also simplify the addressing logic for the provision of scaling coefficients during an image processing operation.

US Patent:

20220215903, Jul 7, 2022

Filed:

Mar 21, 2022

Appl. No.:

17/700456

Inventors:

- San Carlos CA, US
Ramin Khaksar - Redwood City CA, US
Michael Taylor - Kensington MD, US
Shadi Shokralla - Danville CA, US
Christopher Haney - Mountain View CA, US
Pavan Vaidyanathan - Palo Alto CA, US
Stephanie Pollard - Pleasanton CA, US
Adam Allred - Menlo Park CA, US
Sima Mortazavi - Foster City CA, US
David Tran - Santa Rosa CA, US
Hossein Namazi - Menlo Park CA, US
Julius Barsi - Menlo Park CA, US

International Classification:

G16B 35/10
G16B 25/20
G16B 30/20
G16B 35/20
C12N 15/10
C12Q 1/6806
C12Q 1/6869
G01N 35/00
G01N 35/10

Abstract:

Provided herein are automated apparatus and methods for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by library preparation and sequencing.

US Patent:

20230129016, Apr 27, 2023

Filed:

Dec 22, 2022

Appl. No.:

18/145185

Inventors:

- San Carlos CA, US
Ramin KHAKSAR - Redwood City CA, US
Michael TAYLOR - Kensington MD, US
Shadi SHOKRALLA - Danville CA, US
Christopher HANEY - Mountain View CA, US
Pavan VAIDYANATHAN - Palo Alto CA, US
Stephanie POLLARD - Pleasanton CA, US
Adam ALLRED - San Carlos CA, US
Sima MORTAZAVI - East Palo Alto CA, US
David TRAN - Santa Rosa CA, US
Hossein NAMAZI - Menlo Park CA, US
Julius BARSI - Menlo Park CA, US

International Classification:

G16B 35/10
G16B 25/20
G16B 30/20
G16B 35/20
C12N 15/10
C12Q 1/6806
C12Q 1/6869
G01N 35/00
G01N 35/10

Abstract:

Provided herein are automated apparatus and methods for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by library preparation and sequencing.

US Patent:

20200306384, Oct 1, 2020

Filed:

Apr 27, 2018

Appl. No.:

16/607711

Inventors:

David T. Tran - San Francisco CA, US

International Classification:

A61K 47/68
A61K 9/50
A61K 31/704

Abstract:

This disclosure relates to novel ligand-drug particles comprising at least one ligand specific for one or more cell surface receptor molecules for targeting the ligand-drug particles to a target cell. This disclosure also relates to pharmaceutical compositions comprising the particles herein and systems and methods for determining the ligand valency of the particles.

US Patent:

20200251181, Aug 6, 2020

Filed:

Apr 22, 2020

Appl. No.:

16/855535

Inventors:

- Menlo Park CA, US
Ramin KHAKSAR - Redwood City CA, US
Michael TAYLOR - Kensington MD, US
Shadi SHOKRALLA - Danville CA, US
Christopher HANEY - Mountain View CA, US
Pavan VAIDYANATHAN - Palo Alto CA, US
Stephanie POLLARD - Pleasanton CA, US
Adam ALLRED - Menlo Park CA, US
Sima MORTAZAVI - Foster City CA, US
David TRAN - Santa Rosa CA, US
Hossein NAMAZI - Menlo Park CA, US
Julius BARSI - Menlo Park CA, US

International Classification:

G16B 35/10
G16B 35/20
G16B 25/20
G16B 30/20

Abstract:

Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

US Patent:

20190203287, Jul 4, 2019

Filed:

Jan 30, 2019

Appl. No.:

16/262747

Inventors:

- Menlo Park CA, US
Ramin KHAKSAR - Redwood City CA, US
Michael TAYLOR - Kensington MD, US
Shadi SHOKRALLA - Danville CA, US
Christopher HANEY - Mountain View CA, US
Pavan VAIDYANATHAN - Palo Alto CA, US
Stephanie POLLARD - Pleasanton CA, US
Adam ALLRED - Menlo Park CA, US
Sima MORTAZAVI - Foster City CA, US
David TRAN - Santa Rosa CA, US
Hossein NAMAZI - Menlo Park CA, US
Julius BARSI - Menlo Park CA, US

International Classification:

C12Q 1/6869
C12Q 1/6883

Abstract:

Provided herein are methods and apparatus for the identification of pathogenic and non-pathogenic microorganisms in food and environmental samples. The disclosure solves existing challenges encountered in identifying food borne pathogens, including pathogens of the , and genera in a timely and efficient manner. The disclosure also provides methods for differentiating a transient versus a resident pathogen, correlating presence of non-pathogenic with pathogenic microorganisms, distinguishing live versus dead microorganisms by sequencing.

US Patent:

20190204317, Jul 4, 2019

Filed:

Aug 3, 2018

Appl. No.:

16/054682

Inventors:

- Menlo Park CA, US
Ramin KHAKSAR - Redwood City CA, US
Michael TAYLOR - Kensington MD, US
Hossein NAMAZI - Menlo Park CA, US
David TRAN - Santa Rosa CA, US
Christopher HANEY - Mountain View CA, US
Pavan VAIDYANATHAN - Palo Alto CA, US
Sima MORTAZAVI - Foster City CA, US
Adam ALLRED - Menlo Park CA, US

International Classification:

G01N 33/569

Abstract:

Provided herein are methods and apparatus for the identification of pathogenic and non-pathogenic microorganisms in food and environmental samples. The disclosure solves existing challenges encountered in identifying food borne pathogens, including pathogens of the and genera in a timely and efficient manner. The disclosure also provides methods for differentiating a transient versus a resident pathogen, correlating presence of non-pathogenic with pathogenic microorganisms, distinguishing live versus dead microorganisms by sequencing.