Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning Article

Goncharov, Artem, Gorocs, Zoltan, Pradhan, Ridhi et al. (2024). Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning . ACS NANO, 18(34), 23365-23379. 10.1021/acsnano.4c06527

Open Access

cited authors

  • Goncharov, Artem; Gorocs, Zoltan; Pradhan, Ridhi; Ko, Brian; Ajmal, Ajmal; Rodriguez, Andres; Baum, David; Veszpremi, Marcell; Yang, Xilin; Pindrys, Maxime; Zheng, Tianle; Wang, Oliver; Ramella-Roman, Jessica C; Mcshane, Michael J; Ozcan, Aydogan

authors

publication date

  • August 13, 2024

published in

keywords

  • ACCURACY
  • Chemistry
  • Chemistry, Multidisciplinary
  • Chemistry, Physical
  • Materials Science
  • Materials Science, Multidisciplinary
  • Nanoscience & Nanotechnology
  • Physical Sciences
  • SPECTROSCOPY
  • SYSTEM
  • Science & Technology
  • Science & Technology - Other Topics
  • Technology
  • continuous glucose monitoring
  • deeplearning
  • insertable biosensors
  • mobile reader
  • neural network-based sensing
  • phosphorescence lifetime

Digital Object Identifier (DOI)

publisher

  • AMER CHEMICAL SOC

start page

  • 23365

end page

  • 23379

volume

  • 18

issue

  • 34