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Updated: Jun 17, 2026

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Multiplexed Fluorescent Microarray for Human Salivary Protein Analysis Using Polymer Microspheres and Fiber-optic Bundles
Published on: October 10, 2013
Multispectral image analysis of binary encoded microspheres for highly multiplexed suspension arrays.
Abhishek Mathur1, David M Kelso
1Bioassay and Biological Characterization, Amgen, Inc., Thousand Oaks, California 91320, USA. amathur@amgen.com
Summary
This study introduces automated methods for quantum-dot (QD) encoded microsphere analysis, enabling highly multiplexed protein quantification. The digital classification approach achieves high accuracy for advanced suspension array technology.
Area of Science:
- Biotechnology
- Nanotechnology
- Analytical Chemistry
Background:
- Suspension array technology enables multiplexed assays but faces limitations in scalability and classification.
- Current methods often use analog classification (multiple levels per color), complicating analysis.
Purpose of the Study:
- To develop fully automated methods for high-plex (100+) suspension array analysis using quantum-dot (QD) encoded microspheres.
- To transition from analog to digital classification for improved microsphere identification and quantification.
- To demonstrate the feasibility of rapid, small-volume, highly multiplexed protein quantification.
Main Methods:
- Automated acquisition of multispectral images of QD-encoded microspheres.
- Image segmentation to isolate individual microspheres.
- Digital classification based on n colors and two levels (present/absent) for microsphere identification.
- Quantification of multiplexed assays using luminescence data and mathematical modeling.
Main Results:
- Microsphere identification and classification accuracy exceeded 97%.
- Assay coefficient of variation (CV) was maintained below 20%.
- Demonstrated successful implementation of a digital classification strategy for QD-encoded microspheres.
Conclusions:
- The developed automated system enables highly multiplexed quantification using QD-encoded microspheres.
- The digital classification approach significantly enhances the scalability and accuracy of suspension array technology.
- This method offers a rapid, small-sample volume solution for complex biological assays.

