Award Data

AirMettle Inc. is transforming big data analytics for NOAA and the broader scientific community with a real-time smart data lake solution. Our innovative method utilizes massively parallel in-storage data processing within a versatile software defined storage framework, deployable on-premises or as a cloudbased service. Building upon our successful NOAA SBIR Phase I project, we strive to improve t ...

Defense MicroElectronics Activity (DMEA) seeks to develop a robust technique to sample and read DNA taggants applied to surfaces of microelectronics supply chain components that employs machine learning methods to develop trained models capable of detecting counterfeit microelectronic parts with > 95% accuracy. To address the need for rapid (< 5 minute) genetic taggant signature profiling rooted i ...

A current limitation of the use of forensic genetics, in particular kinship and phenotypic prediction, is the black box nature of many of the proprietary approaches currently in the market. Lynntech Inc. proposes a Phase II effort to develop Quick Single Nucleotide Polymorphism (Quick-SNP) as a DNA forensic genomics tool following the guidelines established by the President’s Council of Advisors ...

The goal of this project is to develop the Semantic Analysis Technologies for the Identification of Dual Use Research of Concern (STIR) capability.  STIR processes scientific documents using semantic technologies and inference algorithms to identify potential Dual Use Research of Concern (DURC).  The focus is on 15 high consequence pathogens and toxins and 7 experimental categories that have bee ...

Aquaculture is the farming of aquatic organisms for human consumption, and includes finfish, shellfish, crustaceans and plants. Aquaculture accounts for approximately 50% of the world’s fish food and is one of the fastest growing food-producing sectors. A major challenge facing commercial fisheries is the presence of infectious diseases. Once a disease outbreak occurs, effective management requi ...

Substitutions, replacing high-priced, quality fish with fish of lesser value is an ever-growing concern in the seafood industry. Recent studies have shown that 33% of the seafood samples tested in a US study were mislabeled. The most common mislabeled samples were those sold as snapper (89%). In fact, 94% of the samples labeled as red snapper were NOT red snapper. In response to this problem, Lynn ...

We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with stateof-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...

The goal of this proposal is to create the software Weave™ to automate the extraction of critical dimensions (CDs) from scanning electron microscope (SEM) images for the microelectronics industry. Current best practices for extraction of CDs are that personnel analyze the images one by one, which is tedious, prone to human bias, time-consuming and expensive. Successful implementation of Weave™ ...

This SBIR Phase II project proposes to integrate an easy to use, inexpensive, and portable bacterial concentrator with a handheld pathogen detection system to enable ultra-low cholera pathogen (Vibrio cholerae) detection. Cholera affects communities across 41 countries, including in Yemen, where in the first 5 months of 2020 has had 110,000 suspected cases. Current methods used to detect the chole ...

Today’s Computer-Aided Design (CAD) applications utilize restrictive mathematical assumptions to approximate the compound geometric intersections necessary to represent real-world products. As a result, critical information is not represented within the Model-Based Definition (MBD) for downstream users in the digital thread, forcing engineers to manually repair CAD models and convert them into d ...