Quantitative particle agglutination assay for point-of-care sensing using mobile holographic imaging and neural networks

Optics and Biophotonics in Low-Resource Settings VIII(2022)

Cited 0|Views3
No score
Abstract
We demonstrate a rapid and cost-effective particle agglutination-based sensor that is powered by holographic imaging and deep learning. A disposable capillary-based flow device is designed to host the agglutination reaction with a material cost of <2 cents/test. A mobile and inexpensive holographic microscope captures a movie of the reaction (~3 min), which is rapidly processed by trained neural networks to automatically measure the target analyte concentration within the sample. The efficacy of this mobile sensor was demonstrated by measuring C-reactive protein (CRP) concentration in human serum samples, accurately covering the high-sensitivity range (0-10µg/mL) and very high concentrations, far exceeding 10µg/mL.
More
Translated text
Key words
mobile holographic imaging,quantitative particle agglutination,point-of-care
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined