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Researcher
- Kevin M Roccapriore
- Sergei V Kalinin
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Rama K Vasudevan
- Yongtao Liu
- Benjamin T Manard
- Cyril V Thompson
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- Anisur Rahman
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- Debangshu Mukherjee
- Gerd J Duscher
- Harold A Walters
- Hong Wang
- Kyle P Kelley
- Mahshid Ahmadi
- Mary K Danielson
- Md Inzamam Ul Haque
- N Dianne B Ezell
- Nicholas E Gregorich
- Ondrej E Dyck
- Robert L Sacci
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- Samuel C Leach
- Som S Shrestha
- Stephen Jesse
- Syed Z Islam
- Udaya C Kalluri
- Utkarsh Pratiush
- Vincent C Paquit
- Xiaohan Yang
- Zhenglai Shen
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This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.
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The invention provides a method for achieving sufficiently strong excitation fields necessary to drive the third- order optical responses over the large focal region.
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We have devised a low cost, non-consumable, highly selective nanotrap-based sensor with broad dynamic sensing and temperature range, including ambient temperature, that could be used for the direct detection and concentration measurement of the dissolved or free gases.
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Time-of-flight secondary ion mass spectrometry (ToF-SIMS) enables static chemical investigations in a wide range of materials and other systems.
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This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
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The invention provides a method to analyze a thin tissue surface and laser ablation sampling by automated analysis by droplet probe mass spectrometry
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The invention provides a system to sample aerosols released from spent fuel rod segments as it is fractured.
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The invention describes the methodology of liquid extraction through a porous membrane surface using a liquid vortex capture mass spectrometry probe. The chemical analysis of living systems has become more feasible with the development of more sensitive analytical techniques.
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Spatially resolved chemical imaging is critical to progress in applications ranging from materials science to medicine where visualizing chemical distributions with nanoscale resolution is import to tuning material functionality as well as understand signaling pathways.
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The invention relates to sensors and more specifically to a sensor for monitoring a gas stream to determine if asbestos fibers are present.