Related Experiment Video
Updated: Jun 12, 2025

08:35
Luminescence Lifetime Imaging of O2 with a Frequency-Domain-Based Camera System
Published on: December 16, 2019
9.2K
Optical Image Sensors for Smart Analytical Chemiluminescence Biosensors
Reza Abbasi1, Xinyue Hu1, Alain Zhang1
1Department of Bioengineering, McGill University, Montreal, QC H3A 0E9, Canada.
Bioengineering (Basel, Switzerland)
|September 27, 2024
Summary
Optical biosensors integrated with lab-on-a-chip (LOC) platforms offer sensitive biomolecule detection. Advancements with CMOS image sensors enable portable, efficient diagnostics and future AI-driven analysis.
Area of Science:
- Analytical Biochemistry
- Microfluidics
- Optical Sensing
Background:
- Optical biosensors provide sensitive and specific biomolecule detection.
- Lab-on-a-chip (LOC) platforms integrate microfluidics with biosensing for miniaturized analysis.
- Chemiluminescence and electrochemiluminescence are key optical phenomena for analyte detection.
Purpose of the Study:
- To review advancements in optical biosensor integration with microfluidic LOC platforms.
- To explore the use of various optical detectors, including pixelated sensors.
- To highlight the benefits of CMOS image sensors in biosensing applications.
Main Methods:
- Review of optical detection methods for chemiluminescence.
- Analysis of single-point detectors (PMT, APD) and pixelated detectors (CCD, CMOS).
- Focus on the integration of optical biosensors with CMOS image sensors within LOC platforms.
Main Results:
- LOC platforms enable rapid, efficient, and point-of-need analysis.
- CMOS image sensors offer high-resolution, spatially resolved, and multiplexed detection.
- CMOS sensors are compact, low-power, and cost-effective for portable devices.
Conclusions:
- Integration of optical biosensors with CMOS image sensors significantly enhances LOC platform capabilities.
- These integrated systems are suitable for point-of-care diagnostics and diverse applications.
- Future integration with machine learning will drive more sophisticated diagnostic tools.

