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Information Technology Laboratory / Software and Systems Division

Information Systems Group

Projects/Programs

Displaying 1 - 22 of 22

Actionable Intelligence

Ongoing
A large portion of this project involves a collaboration with the Engineering Laboratory’s (EL) Model-based Enterprise program, specifically with the Knowledge Extraction and Application for Manufacturing Operations project. This collaboration has focused on the analysis of maintenance work order

Configurable Data Curation System (CDCS)

Ongoing
The ability to automate and accelerate the activities of scientific and engineering lifecycles for materials science (or any other domain) depends critically on a scalable infrastructure for scientific data. Without appropriate data or inter-connection of that data, no meaningful automation or

Explainable Artificial Intelligence Based Modeling Applied to OMICS Problems

Ongoing
The goal of the project is to produce billions of certified values from multiple measurement methods with well-characterized uncertainty in the “’omics” field (genomics, proteomics, transcriptomics). These values are prepared by a joint effort between human experts and trained AI based models for
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Image Analytics

Ongoing
The Image Analytics Project enables scientific discovery by: Understanding scientific imagery, including traditional imagery forms and sizes advanced imagery forms and sizes (including very large images) Characterizing and evaluating sensors and processors of scientific imagery, including

AI for Low-Field MRI

Ongoing
The overall goal of this project is to use an AI network to overcome the low Signal-to-Noise-Ratio (SNR) of low-field MRI, so that we can produce quantitative ADC measurements. This will be accomplished by a collaborative effort imaging with a low-field Hyperfine instrument, with the physicists
A line drawing of a woman's head styled like a classical carved bust

METIS

Ongoing
A Metrology Exchange to Innovate in Semiconductors

Metrics for Manipulation and Enhancements of Forensic Images

Completed
Image metrics and well-defined algorithms will be researched and developed to analyze and quantify the image transformation processes applied by forensic scientists in the context of latent fingerprint analysis. The research will focus on two principal aspects. Image Enhancement Tools The

Molecular Binding Prediction for Drug Design

Ongoing
Computer simulations of large multi-molecular networks are of fundamental importance to elucidate the underlying mechanisms of key biological functions in the human body. Our vision is that only the combination of computational and experimental data can lead to the needed insight into these complex

Multi-modal AI Models with Application to Precision Medicine

Ongoing
The main goals of this project are listed as follows. Define ML/DL architectures targeted at diverse datasets consisting of spectral images and metadata of different types. Train and test the resulting ML/DL networks on data from the MP and select the best ones. Using the above-developed ML/DL

Numerical Reproducibility

Ongoing
The Information Systems group in ITL is developing a program in numerical reproducibility, which has been funded through several projects. Issues with numerical reproducibility are becoming increasingly significant, for several reasons Increased use of parallel computing has caused order of

Quality Assessment of Cryogenic Electron Microscopy Images

Ongoing
Manufacturing a vaccine based on packaging mRNA in lipid nanoparticles requires a full characterization of concentrations and distributions of mRNA and LNPs, as well as all manufacturing conditions. Such experiments generate hundreds of terabytes (TBs) of images and pose challenges on trusted

Real-time Image Intensity Transformation for Surgical Displays

Ongoing
The goal of the project is to develop multiple approaches to fusing dim fluorescent and vivid bright-field images such that surgery-relevant anatomical features are easily perceived. Our approach is based on transforming image intensities in fluorescent surgical microscopy images and blending them

Reproducibility of Imaging Analyses Applied to Nucleus Image Quantification

Ongoing
The goal of our effort is to improve reproducibility of image-based measurements and quantify the measurement uncertainty while leveraging all cutting-edge AI/ML approaches to image-based drug discoveries. In our work, we selected measurements derived from fluorescently-labeled nucleus images over

SCOUT

Ongoing
SCOUT (Scalable Object Understanding Technology) is a software system that finds all objects of interest in an entire microscope slide and provides various quality assurance metrics. It is designed to detect objects of size ~100 2 pixels in very large (~ 100K x 50K pixels) 10x magnification

Training Image Segmentation of Damage in Concrete Samples

Ongoing
The application‐driven motivation for our work lies in automated image‐based quantification of damage types from laboratory prepared concrete samples. The concrete samples are extracted from the laboratory-prepared concrete blocks under a variety of conditions by drill coring. The images are

Zeno

The Zeno software tool computes material, solution, and suspension properties for a specified particle shape or molecular structure using path-integral and Monte Carlo methods. The software was originally developed in Fortran77 at the Stevens Institute of Technology with support from NIST MML. ITL