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Researcher
- Adam M Guss
- Rama K Vasudevan
- Josh Michener
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- Kyle Kelley
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- Maxim A Ziatdinov
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- Gs Jung
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- Halil Tekinalp
- Hoyeon Jeon
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- Jewook Park
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- Kyle Davis
- Kyle Gluesenkamp
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- Md Inzamam Ul Haque
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- Nickolay Lavrik
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- Ondrej Dyck
- Paul Abraham
- Paula Cable-Dunlap
- Petro Maksymovych
- Radu Custelcean
- Saban Hus
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There is a critical need for new antiviral drugs for treating infections of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

The invention provides on-line analysis of droplets for mass spectrometry.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture

An innovative system for automating the surveillance and manipulation of plant tissues using advanced machine vision and robotic tools.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
Aromas play a significant role in the quality and safety of food, beverages, and even manufactured products. The ability to detect and interpret these aromas accurately can enhance product safety and consumer satisfaction.

An ORNL team has developed a method for screening for an immunoregulatory protein, which includes assessing the sequence of a candidate protein to determine if it is an immunoregulatory protein when at least one plasminogen-apple-nematode (PAN) domain with a consensus sequence