Statistical analysis

News and Updates

A close-up of a virus particle shows spikes protruding from the particle's surface and blobby sugars that cling to the spikes.

New NIST Method Can Better Identify Sneaky Sugars on Viruses’ Spiky Weapons

September 28, 2023

A better picture of the sugars can increase our understanding of how humans get infected by the virus behind COVID-19 and other pathogens.

Man wearing safety glasses leans toward a tabletop optical laser setup.

Spotlight: Meet a Mentor for Summer Undergraduates: NIST Quantum Physicist Krister Shalm

January 23, 2023

Quantum physicist Krister Shalm has a few spots in his laboratory for motivated undergrads. Do you know any STEM-centric college students who might be

Where Once Were Black Boxes, NIST’s New LANTERN Illuminates

June 22, 2022

Researchers at the National Institute of Standards and Technology (NIST) have developed a new statistical tool that they have used to predict protein function.

Projects and Programs

Using Geodesics in Cell Cytometry

Ongoing

This statistical application involves determining the similarity of cell populations based on comparing cell shapes.

FRVT 1:N Identification

Ongoing

FRVT 1:N has moved to https://pages.nist.gov/frvt/html/frvt1N.html

Uncertainty analysis for autocorrelated measurement data

Ongoing

Develop statistical approaches to assess uncertainties for various autocorrelated measurement data.

Additive Manufacturing Part Qualification

Ongoing

Critical parts for defense, aerospace, and medical applications must be formally qualified prior to use. Currently, extensive empirical testing consisting of

Publications

Estimation of Measurement Uncertainty for the Quantification of Protein by ID-LC-MS/MS

May 26, 2023

Author(s)

Ashley Beasley Green, N. Alan Heckert

The emergence of mass spectrometry (MS)-based methods to quantify proteins for clinical applications has led to the need for accurate and consistent

Quantifying Reactor Power Noise - A Case Study on NIST Research Reactor

May 26, 2023

Author(s)

Anil Gurgen, Dagistan Sahin, James R. Whipple

Water cooled reactors experience reactivity changes when voids are present in the coolant. The fraction of coolant in the core diminutions in the event of

Toward an Integrated Machine Learning Model of a Proteomics Experiment

February 6, 2023

Author(s)

Ben Neely, Viktoria Dorfer, Lennart Martens, Isabell Bludau, Robbin Bouwmeester, Sven Degroeve, Eric Deutsch, Siegfried Gessulat, Tobias Rehfeldt, Lukas Käll, Veit Schwämmle, Samuel Payne, Tobias Schmidt, Pawel Palczynski, Julian Uszkoreit, Juan Antonio Vizcaino, Mathias Wilhelm, Magnus Palmblad

In recent years machine learning has made extensive progress in modeling many aspects of mass spectrometry data. We brought together proteomics data generators

Separable Shape Tensors for Aerodynamic Design

January 31, 2023

Author(s)

Zachary J. Grey, Andrew Glaws, Olga Doronina

Airfoil shape design is a classical problem in engineering and manufacturing. In this work, we combine principled physics-based considerations for the shape

Statistical analysis

News and Updates

New NIST Method Can Better Identify Sneaky Sugars on Viruses’ Spiky Weapons

Spotlight: Meet a Mentor for Summer Undergraduates: NIST Quantum Physicist Krister Shalm

Where Once Were Black Boxes, NIST’s New LANTERN Illuminates

Projects and Programs

Using Geodesics in Cell Cytometry

FRVT 1:N Identification

Uncertainty analysis for autocorrelated measurement data

Additive Manufacturing Part Qualification

Publications

Estimation of Measurement Uncertainty for the Quantification of Protein by ID-LC-MS/MS

Quantifying Reactor Power Noise - A Case Study on NIST Research Reactor

Toward an Integrated Machine Learning Model of a Proteomics Experiment

Separable Shape Tensors for Aerodynamic Design

Software

Cost Assessment Tool for Sustainable Manufacturing (CATS)

Smart Investment Tool

Extreme Winds and Wind Effects on Structures