Dale Richard Webster

US Patent:

20110183320, Jul 28, 2011

Filed:

Nov 12, 2010

Appl. No.:

12/945767

Inventors:

Benjamin Flusberg - Atlanta GA, US
Jonas Korlach - Newark CA, US
Jeffrey Wegener - Cupertino CA, US
Tyson A. Clark - Menlo Park CA, US
Igor Vilfan - East Palo Alto CA, US
Andrey Kislyuk - San Ramon CA, US
Stephen Turner - Menlo Park CA, US
Jon Sorenson - Alameda CA, US
Kevin Travers - Menlo Park CA, US
Cheryl Heiner - San Mateo CA, US
Austin B. Tomaney - Burlingame CA, US
Patrick Marks - San Francisco CA, US
Jessica Lee - Cupertino CA, US
Lei Jia - Palo Alto CA, US
Dale Webster - San Mateo CA, US
John Lyle - Redwood Shores CA, US
Jeremiah Hanes - Redwood City CA, US
Joseph Puglisi - Stanford CA, US

Assignee:

Pacific Biosciences of California, Inc. - Menlo Park CA

International Classification:

C12Q 1/68

US Classification:

435 61

Abstract:

Methods, compositions, and systems are provided for characterization of modified nucleic acids. In certain preferred embodiments, single molecule sequencing methods are provided for identification of modified nucleotides within nucleic acid sequences. Modifications detectable by the methods provided herein include chemically modified bases, enzymatically modified bases, abasic sites, non-natural bases, secondary structures, and agents bound to a template nucleic acid.

US Patent:

20130029853, Jan 31, 2013

Filed:

Oct 2, 2012

Appl. No.:

13/633673

Inventors:

Benjamin Flusberg - Atlanta GA, US
Stephen Turner - Menlo Park CA, US
Jessica Lee - Cupertino CA, US
Lei Jia - North Potomac MD, US
Jonas Korlach - Newark CA, US
Jon Sorenson - Alameda CA, US
Dale Webster - San Mateo CA, US
John Lyle - Fremont CA, US
Kevin Travers - Menlo Park CA, US
Jeremiah Hanes - Redwood City CA, US
Joseph Puglisi - Stanford CA, US

Assignee:

Pacific Biosciences of California, Inc. - Menlo Park CA

International Classification:

C12Q 1/68
C12Q 1/70
C40B 20/00
G01N 21/64
B82Y 15/00

US Classification:

506 2, 435 612, 435 5, 435 611, 977902

Abstract:

Methods, compositions, and systems are provided for characterization of modified nucleic acids. In certain preferred embodiments, single molecule sequencing methods are provided for identification of modified nucleotides within nucleic acid sequences. Modifications detectable by the methods provided herein include chemically modified bases, enzymatically modified bases, abasic sites, non-natural bases, secondary structures, and agents bound to a template nucleic acid.

US Patent:

20130316916, Nov 28, 2013

Filed:

Jun 28, 2013

Appl. No.:

13/930178

Inventors:

Stephen Turner - Menlo Park CA, US
Jessica Lee - Cupertino CA, US
Lei Jia - North Potomac MD, US
Jonas Korlach - Newark CA, US
Jon Sorenson - Alameda CA, US
Dale Webster - San Mateo CA, US
John Lyle - Fremont CA, US
Kevin Travers - Menlo Park CA, US
Jeremiah Hanes - Menlo Park CA, US
Joseph Puglisi - Stanford CA, US

International Classification:

C12Q 1/68

US Classification:

506 2, 435 611

Abstract:

Methods, compositions, and systems are provided for characterization of modified nucleic acids. In certain preferred embodiments, single molecule sequencing methods are provided for identification of modified nucleotides within nucleic acid sequences. Modifications detectable by the methods provided herein include chemically modified bases, enzymatically modified bases, abasic sites, non-natural bases, secondary structures, and agents bound to a template nucleic acid.

US Patent:

20100221716, Sep 2, 2010

Filed:

Dec 10, 2009

Appl. No.:

12/635618

Inventors:

Benjamin Flusberg - Palo Alto CA, US
Stephen Turner - Menlo Park CA, US
Jessica Lee - Cupertino CA, US
Lei Jia - Palo Alto CA, US
Jonas Korlach - Newark CA, US
Jon Sorenson - Alameda CA, US
Dale Webster - San Mateo CA, US
John Lyle - Redwood Shores CA, US
Kevin Travers - Santa Clara CA, US
Jeremiah Hanes - Redwood City CA, US

Assignee:

Pacific Biosciences of California, Inc. - Menlo Park CA

International Classification:

C12Q 1/68

US Classification:

435 6

Abstract:

Methods, compositions, and systems are provided for characterization of modified nucleic acids. In certain preferred embodiments, single molecule sequencing methods are provided for identification of modified nucleotides within nucleic acid sequences. Modifications detectable by the methods provided herein include chemically modified bases, enzymatically modified bases, abasic sites, non-natural bases, secondary structures, and agents bound to a template nucleic acid.

US Patent:

20220309665, Sep 29, 2022

Filed:

Jun 13, 2022

Appl. No.:

17/838971

Inventors:

- Mountain View CA, US
Dale R. Webster - San Mateo CA, US
Avinash Vaidyanathan Varadarajan - Los Altos CA, US
Akinori Mitani - Indialantic FL, US
Lily Hao Yi Peng - Mountain View CA, US

International Classification:

G06T 7/00
G16H 10/60
G06N 3/04

Abstract:

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models.

US Patent:

20210357696, Nov 18, 2021

Filed:

Oct 17, 2018

Appl. No.:

17/286392

Inventors:

- Mountain View CA, US
Dale R. Webster - San Mateo CA, US
Avinash Vaidyanathan Varadarajan - Los Altos CA, US
Pinal Bavishi - Mountain View CA, US

International Classification:

G06K 9/62
G06T 7/00
G16H 50/20
G16H 30/40

Abstract:

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a fundus image processing machine learning models that is configured to process one or more fundus images captured by a fundus camera to generate a predicted label. One of the methods includes generating training data, comprising: receiving sets of one or more training fundus images captured by a fundus camera; receiving, for each of the sets, a ground truth label assigned to a different image of the eye of the patient corresponding to the set that has been captured using a different imaging modality; and generating, for each set of training fundus images, a training example that includes the set of training fundus images in association with the ground truth label assigned to the different image of the patients eye; and training the machine learning model on the training examples in the training data.

US Patent:

20210209762, Jul 8, 2021

Filed:

Mar 25, 2021

Appl. No.:

17/212811

Inventors:

- Mountain View CA, US
Dale R. Webster - San Mateo CA, US
Philip Charles Nelson - San Jose CA, US
Varun Gulshan - Chicago IL, US
Marc Adlai Coram - Stanford CA, US
Martin Christian Stumpe - Belmont CA, US
Derek Janme Wu - Mountain View CA, US
Arunachalam Narayanaswamy - Sunnyvale CA, US
Avinash Vaidyanathan Varadarajan - Los Altos CA, US
Katharine Blumer - Mountain View CA, US
Yun Liu - Mountain View CA, US
Ryan Poplin - Sunnyvale CA, US

International Classification:

G06T 7/00
G16H 50/30
G16H 50/20
G06N 3/04
G06N 3/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.

US Patent:

20200311933, Oct 1, 2020

Filed:

Mar 30, 2020

Appl. No.:

16/835152

Inventors:

- Mountain View CA, US
Dale R. Webster - San Mateo CA, US
Avinash Vaidyanathan Varadarajan - Los Altos CA, US
Akinori Mitani - Menlo Park CA, US
Lily Hao Yi Peng - Mountain View CA, US

International Classification:

G06T 7/00
G16H 10/60
G06N 3/04

Abstract:

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models.