Modeling and simulation of luminescence detection platforms.

Area of Science:

• Biomedical Engineering
• Optical Sensing
• Integrated Circuit Design

Background:

• Luminescence detection systems are crucial for various biological and chemical assays.
• Existing systems often lack integration and comprehensive simulation models for optimization.
• Advancements in CMOS and CCD imaging technology necessitate updated modeling approaches.

Purpose of the Study:

• To develop a comprehensive simulation model for CCD and CMOS imager-based luminescence detection.
• To optimize the design of an integrated CMOS-based detection platform.
• To enhance detection reliability and system throughput in luminescence assays.

Main Methods:

• Modeled photon flux generation using ATP-based and luciferase assay kinetics.
• Employed an optics simulator to calculate incident photon flux on the imaging plane.
• Utilized a detailed imaging sensor model incorporating spectral response, dark current, conversion gain, and noise.
• Applied signal processing algorithms for image enhancement and reliability improvement.

Main Results:

• A validated simulation model accurately predicts luminescence detection system performance.
• The model integrates photon generation, optics, sensor characteristics, and signal processing.
• Simulation results show good agreement with experimental data from a CCD-based system.

Conclusions:

• The developed simulation model is a valuable tool for designing and optimizing integrated luminescence detection systems.
• This approach facilitates the advancement of CMOS-based detection platforms.
• The model's validation supports its application in improving detection reliability and system efficiency.