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to acquire different kinds of images on large numbers of iPS cells in culture; machine learning algorithms and other image analysis strategies may be used to extract and test image features as predictors
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, leading to significant differences between methods. NIST has world-class facilities in neutron, magnetic, X-ray, and electron techniques to investigate these methods; compare between different methods; and
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301.975.2362 Description Microcalorimeters operating at very low temperatures comprise a new class of x-ray detectors which cover a wide energy range with high resolution. The detectors are calorimeters cooled
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materials databases to be integrated into the NIST-JARVIS (https://jarvis.nist.gov/ ) infrastructure. We work closely with experimental collaborators for validation and focus on releasing software, models
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models (organoids) are slowly being developed. This postdoctoral solicitation features an opportunity to comprehensively examine and expand upon current methods or to develop completely new, reproducible
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2017 Boggs ASP, Bowden JA, Galligan TM, Guillette LJ Jr, Kucklick JR: Development of a Multi-class Steroid Hormone Screening Method using Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS
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received attention as possible materials for efficient carbon dioxide capture. This class of materials exhibits a wide variety of pore sizes, geometries, and connectivities, as well as a range of exposed
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determined by geometry, microstructure, chemistry, dimensional scale, proximity to other materials, and exposure to external stressors. Integration of powerful characterization techniques and reliability tests
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world-class, unique controls and measurement capabilities, and flexibility to incorporate new research instrumentation and ideas. Further, our measurement facilities include X-ray computed tomography
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assays, and performing dynamic measures of infectivity over an assay time course. Measurement methods can involve microscopy, flow cytometry, and time-lapse imaging. Novel microscopy tools include high