Hui Q Yu

US Patent:

20210130868, May 6, 2021

Filed:

Apr 5, 2018

Appl. No.:

16/500370

Inventors:

- Scottsdale AZ, US
Shaopeng Wang - Chandler AZ, US
Hui Yu - Tempe AZ, US

Assignee:

Arizona Board of Regents on behalf of Arizona State University - Scottsdale AZ

International Classification:

C12Q 1/18
G01N 21/51
G06T 7/00
G16H 10/40
G16H 30/40
G16H 50/20

Abstract:

A method for deep learning video microscopy-based antimicrobial susceptibility testing of a bacterial strain in a sample by acquiring image sequences of individual bacterial cells of the bacterial strain in a subject sample before, during, and after exposure to each antibiotic at different concentrations. The image sequences are compressed into static images while preserving essential phenotypic features. Data representing the static images is input into a pre-trained deep learning (DL) model which generates output data; and antimicrobial susceptibility for the bacterial strain is determined from the output data.

US Patent:

20160299069, Oct 13, 2016

Filed:

Jan 2, 2015

Appl. No.:

15/038629

Inventors:

- Scottsdale AZ, US
Hui Yu - Scottsdale AZ, US
Xiaonan Shan - Scottsdale AZ, US
Shaopeng Wang - Scottsdale AZ, US

International Classification:

G01N 21/552

Abstract:

Method and system to remove background noise with a differential approach in optical imaging is disclosed. The differential approach moves the sample position laterally over a small distance, and a differential image is generated from the images recorded before and after the lateral translation. This approach can significantly improve the image quality of objects, including single DNA molecules, for label-free optical imaging techniques, such as surface plasmon resonance imaging. Disclosed imaging technique provides high-resolution genome-wide restriction maps of single DNA molecules.