Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Development of an Insertable Enzymatic Sensor Towards <i>in vivo</i> Optical Measurements of Amino Acids.

IEEE sensors letters·2026
Same author

Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning.

BME frontiers·2026
Same author

Prebiotically Plausible Vesicle Populations Can Respond to Selection for Greater Turbidity via Emergent Cooperative Dynamics.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Oil-impregnated densified wood veneer with high electrical insulation enabled by nanosized oil channels.

Science advances·2026
Same author

Snapshot 3D image projection using a diffractive decoder.

Light, science & applications·2026
Same author

Autonomous Uncertainty Quantification for Computational Point-of-Care Sensors.

ACS nano·2026
Same journal

Engineered Young Brown Adipose Tissue-Derived Exosomes Alleviate Radiation-Induced Lung Injury by Promoting G Protein-Coupled Receptor 183 Ubiquitination.

ACS nano·2026
Same journal

Pore Geometry-Driven Capture of Trace Aromatic Volatile Organic Compounds in Al-Based MOFs.

ACS nano·2026
Same journal

Dual-Bridged Porphyrin-Based Covalent Organic Framework with Integrated Specific Fluorescent Recognition and Cooperative Adsorption Capabilities.

ACS nano·2026
Same journal

Split-Gate Memtransistors for Energy-Efficient Adaptive Reinforcement Learning.

ACS nano·2026
Same journal

Interface Coordination Nucleation of Copper Nanoclusters on Covalent Organic Frameworks for Electrocatalytic Ammonia Synthesis.

ACS nano·2026
Same journal

High-Performance Near-Infrared Quantum Emission from Color Centers in hBN.

ACS nano·2026
See all related articles

Related Experiment Video

Updated: Jun 17, 2025

Fluorescence Lifetime Macro Imager for Biomedical Applications
06:01

Fluorescence Lifetime Macro Imager for Biomedical Applications

Published on: April 7, 2023

720

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

Artem Goncharov1,2,3, Zoltan Gorocs1,2,3, Ridhi Pradhan4

  • 1Electrical & Computer Engineering Department, University of California, Los Angeles, California 90095, United States.

ACS Nano
|August 13, 2024
PubMed
Summary
This summary is machine-generated.

A new optical continuous glucose monitoring (CGM) system uses a phosphorescence lifetime imager (PLI) to accurately track glucose levels through the skin. This wearable technology demonstrates resilience to misalignment, offering a promising tool for personalized glucose management.

Keywords:
continuous glucose monitoringdeep learninginsertable biosensorsmobile readerneural network-based sensingphosphorescence lifetime

More Related Videos

Highly Sensitive and Rapid Fluorescence Detection with a Portable FRET Analyzer
08:27

Highly Sensitive and Rapid Fluorescence Detection with a Portable FRET Analyzer

Published on: October 1, 2016

9.1K
Glutamine Flux Imaging Using Genetically Encoded Sensors
10:23

Glutamine Flux Imaging Using Genetically Encoded Sensors

Published on: July 31, 2014

9.6K

Related Experiment Videos

Last Updated: Jun 17, 2025

Fluorescence Lifetime Macro Imager for Biomedical Applications
06:01

Fluorescence Lifetime Macro Imager for Biomedical Applications

Published on: April 7, 2023

720
Highly Sensitive and Rapid Fluorescence Detection with a Portable FRET Analyzer
08:27

Highly Sensitive and Rapid Fluorescence Detection with a Portable FRET Analyzer

Published on: October 1, 2016

9.1K
Glutamine Flux Imaging Using Genetically Encoded Sensors
10:23

Glutamine Flux Imaging Using Genetically Encoded Sensors

Published on: July 31, 2014

9.6K

Area of Science:

  • Biomedical Engineering
  • Optical Sensing
  • Wearable Technology

Background:

  • Optical continuous glucose monitoring (CGM) offers advantages over electrochemical methods, including lower cost and enhanced durability.
  • Existing optical CGM systems face challenges with signal interference and precise sensor alignment.
  • Phosphorescence-based sensing provides a unique approach for glucose detection due to its long signal lifetime.

Purpose of the Study:

  • To develop and evaluate a computational CGM system integrating a phosphorescence-based biosensor and a novel phosphorescence lifetime imager (PLI).
  • To assess the accuracy and robustness of the PLI system for glucose level inference through skin.
  • To investigate the system's resilience to sensor misalignment for practical wearable applications.

Main Methods:

  • Development of a compact, cost-effective PLI designed for capturing phosphorescence lifetime images through skin.
  • Integration of a biocompatible phosphorescence-based biosensor whose signal is modulated by glucose concentration.
  • Utilizing neural network models for misalignment-tolerant inference of glucose levels from acquired lifetime images.
  • In vitro testing using a human skin phantom and glucose-spiked samples to evaluate accuracy and misalignment tolerance.

Main Results:

  • The PLI system achieved 88.8% inference accuracy in a 1 mm thick skin phantom.
  • Demonstrated resilience to random misalignments up to ~4.7 mm, maintaining accurate glucose level inference.
  • Successfully identified larger misalignments (>5 mm), triggering alerts for user realignment.
  • The phosphorescence signal's long lifetime effectively bypassed noise from tissue autofluorescence and excitation leakage.

Conclusions:

  • The developed computational CGM system, featuring a phosphorescence lifetime imager (PLI), provides accurate and misalignment-resilient glucose monitoring.
  • This technology shows significant potential as a cost-effective and durable wearable diagnostic tool for real-time glucose tracking.
  • The system's ability to function through skin and tolerate misalignment addresses key challenges in developing practical optical CGM devices.