Project Grant R41GM130513

Partillion Bioscience Corp. was awarded a $659,037 Project Grant from the National Institutes of Health's National Institute of General Medical Sciences to develop reagent products enabling high-throughput screening and selection of single cells based on secreted bio-products. Under the Biomedical Research and Research Training program (CFDA 93.859), Partillion plans to transition its lab-on-a-particle technology—highlighted as a 2020 SLAS Innovation Award winner—into the first reagent product...

This three-year Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $164,000 to Purdue University to develop integrated moment-based descriptors and deep neural networks for screening three-dimensional biological data. The researchers will extend mathematical moments to encompass fractional-order moment descriptors, providing a more accurate representation of 3D images. They will integrate the new moment-based approach into a...

The National Science Foundation (NSF) awarded a $304,972 Project Grant under their NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Particle4X, Inc. The grant will fund the development of a real-time, inline sensor system that integrates digital inline holography and deep learning to enable automated, label-free detection of both particulate matter and microbial contaminants in liquid production environments. The system is expected to provide earlier identification of...

This $554,004 federal Project Grant award was provided by the National Science Foundation's Geosciences Program (CFDA 47.050) to the University of Washington. The project will use statistical neural networks to analyze large flow cytometry datasets and reveal the geographical distribution of phytoplankton and how the environment shapes these patterns. The research will develop computationally efficient neural network models to automatically classify cell-level data with environmental covariates,...

This Cooperative Agreement, awarded by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) federal grant program, provides $144,689.30 to develop physics-informed, AI-driven software agents that optimize the design and measurement of biotherapeutic drug formulations. The project aims to create open-source software tools integrating AI and machine learning techniques to guide the selection of biotherapeutic...

This Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) supports the development of a novel in-line biomanufacturing process analytical technology tool. The $302,417 award to Physical Sciences Inc. (PSI), in collaboration with the University of Massachusetts Lowell (UML), aims to enable real-time monitoring of biomolecules in large-scale bioreactors for gene therapy manufacturing. The technology...

This Project Grant award of $371,427, funded by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), aims to develop novel high-throughput machine learning approaches to study cell-population-wide differences in subcellular object morphology, conformations, and organization using cryo-electron tomography (cryo-ET) data. The key objectives are to: 1) improve the data efficiency of existing deep learning-based cryo-ET...

This Project Grant award of $1,182,323.00 from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) aims to develop novel deep learning frameworks for automating nuclei segmentation and analysis in chromatin-sensitive partial wave spectroscopic (CSPWS) microscopy images. The project, awarded to North Carolina Agricultural and Technical State University, will create AI-based software tools to streamline cancer detection and treatment monitoring using CSPWS data....

This National Science Foundation (NSF) Biological Sciences program Project Grant, with an award date of October 1, 2023 and total funding of $256,667.00, supports the development of advanced computational models to measure cellular traits in microscopy images. The goal is to create a universal deep-learning model that can readily quantify cell morphology in any microscopy image, with minimal training required. Specific objectives include developing methods for learning and extracting...

The National Institute of General Medical Sciences (NIGMS) awarded a $356,497 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to Kinetic River Corp. in Mountain View, CA. This grant, awarded on August 15, 2024, is funding the development of an ultrasensitive flow cytometry system for multiparametric analysis of therapeutic anti-aging extracellular vesicles (EVs). Extracellular vesicles show promise as biomarkers and therapeutics for a range of indications,...