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303.497.3480 Description Microbes are prolific (≈60% of Earth’s biomass) and exhibit substantial genetic diversity; however, laboratory methods for culturing these diverse microbes in vitro are severely limited
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of molecular biology techniques (PCR, metagenomics, biomarkers, and biosensors) has resulted in an explosion of new methods and strategies to generate quantitative insight into microbial community dynamics
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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quality and performance attributes to be produced in a repeatable manner. Current methods for using AI/ML approaches for AM DT often assume a direct correlation between AM input parameters and the relevant
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for calibration in advanced imaging methods. At NIST, advances in “drop-on-demand” inkjet technology are poised to meet this need. Advanced gravimetric techniques allow the precise deposition of picoliter
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will be complemented by computer model simulations using available capabilities based on methods such as density functional theory (DFT). [3] [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R
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301.975.3438 Description NIST has developed an integrated measurement services program for forensic and cannabis (hemp and marijuana) laboratories to help ensure the quality of routine analysis of cannabis plant
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NRC Programs at National Institute of Standards and Technology This page provides specific information related to the NRC Research and Fellowship Program at NIST. Use the navigation on the left
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phone Meghan Catherine Burke Harris meghan.burkeharris@nist.gov 301 975 5631 Description This project aims to leverage sample preparation methods, state-of-the-art instrumentation, and custom software
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NIST only participates in the February and August reviews. This project’s focus is to develop light-scattering nanoscopy methods for rapid, multi-attribute characterization of nanoparticles