Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species

Abstract

Detection and quantification of bacterial endotoxins is important in a range of health-related contexts, including during pharmaceutical manufacturing of therapeutic proteins and vaccines.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2021
Source ID
10.1039/d0an02220a

Entities

People

  • Alexander D. Smith
  • Chulsoon Park
  • JungHyun Noh
  • Nicholas L Abbott
  • Shengli Jiang
  • Victor M Zavala

Organizations

  • Army Research Office
  • Cornell University
  • Division of Materials Research
  • National Science Foundation
  • United States Army
  • University of Wisconsin–Madison

Tags

Readers

  • Aerosol Science/Aerosol Physics
  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Immunology

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Biotechnology