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Finding practical solutions to detect proteins, cancer biomarkers, viruses and other small objects has been a key challenge for researchers worldwide for decades. These solutions hold promise for saving lives through more timely diagnosis and treatment of serious infections and diseases.

Now a UCLA team’s new research shows how such detections might be done for a fraction of the cost by using “smart” mobile devices designed by machine learning.

One method to detect small objects and related biomarkers is called plasmonic sensing, which involves shining light onto metal nanostructures to amplify the local electric field. The interaction between this amplified electric field and the molecule of interest can be measured, revealing important information about molecular concentration and kinetics. [Read more…] about Machine learning helps researchers design less costly optical sensors