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A near-infrared upconversion luminescence total internal reflection platform for quantitative image analysis.

Wanying Xia¹, Bo Ling¹, Lun Wang¹

¹Anhui Key Laboratory of Chemo-Biosensing, Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241000, P. R. China. fgao@ahnu.edu.cn hq80chen@mail.ahnu.edu.cn.

Chemical Communications (Cambridge, England)

|June 26, 2020

Summary

Researchers developed a new quantitative image analysis method using near-infrared upconversion luminescence. This photon-counting technique significantly reduces sample volume and speeds up data analysis for high-throughput applications.

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Area of Science:

Analytical Chemistry
Spectroscopy
Biophysics

Background:

Quantitative image analysis is crucial for various scientific disciplines.
Existing methods often require large sample volumes and extensive analysis time.
Development of efficient and sensitive analytical techniques is an ongoing need.

Purpose of the Study:

To develop a novel quantitative image analysis method.
To enhance sample throughput and reduce analysis time.
To minimize sample consumption in luminescence-based assays.

Main Methods:

Utilized a near-infrared upconversion luminescence total internal reflection platform.
Developed a photon-counting strategy for quantitative analysis.
Integrated image analysis for high-throughput data processing.

Main Results:

Achieved quantitative analysis by counting photons from different samples.
Demonstrated significant reduction in sample consumption to 10 μL.
Ensured high-throughput and rapid data analysis with a speed of 0.1 seconds.

Conclusions:

The developed method offers a highly efficient approach for quantitative image analysis.
This technique is suitable for applications requiring minimal sample volume and rapid results.
The photon-counting strategy provides a sensitive and fast analytical solution.