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Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.
Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.
The invention provides on-line analysis of droplets for mass spectrometry.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.