Project Grant 2220273
- The National Science Foundation (NSF) has awarded a $360,000 Project Grant under the CFDA Program "Computer and Information Science and Engineering" to the University of Texas at Austin (UT Austin) and Michigan State University for a collaborative research project. The goal of this 4-year project is to develop a novel framework for continuous, precise, and closed-loop control of bi-hormone (insulin or glucagon) secretion from genetically modified islet organoid grafts using tiny,...
- This $241,823 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of an implantable engineered tissue with optogenetically engineered human beta-cells. The project aims to address challenges in creating vascularized tissues with light-activatable cells to improve treatment for diabetes. Key activities include designing a gelatin-based engineered tissue with oxygen-generating microparticles and optogenetically...
- This National Science Foundation (NSF) Division of Computer and Network Systems Project Grant award totaling $839,998 to Michigan State University supports the development of a novel wireless optoelectronic implant system for closed-loop control of bi-hormone (insulin and glucagon) secretion from genetically modified islet organoids. The goal is to create an implantable, wireless, and battery-free device that can precisely regulate hormone levels to manage type 1 diabetes. The project involves...
- The National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $450,000 Project Grant to the Texas A&M Engineering Experiment Station (Tees) to develop an injectable, grain-of-rice size glucose biosensor for continuous blood sugar monitoring. The key products or services to be provided under this 3-year grant include: Developing an injectable glucose biosensor comprised of a self-cleaning membrane and a near-infrared fluorescence...
- The Massachusetts Institute of Technology (MIT) has been awarded a 5-year, $487,873 National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant to develop advanced label-free microscopy technologies for deep-tissue biological imaging. The project aims to create innovative fiber optic light sources, excitation methods, and algorithmic reconstruction techniques to enable label-free multiplex imaging that can visualize dynamic cellular processes within living tissue with...
- This National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems Project Grant of $500,000 awarded to Beth Israel Deaconess Medical Center, Inc. (Bidmc) aims to develop a novel, label-free method for dynamically sensing chromatin packing and structure in live cells. The 3-year project leverages the principles of fractal sensing and coherent confocal light absorption and scattering spectroscopic microscopy to create a 3D dynamic map of chromatin...
- This $1.2 million project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at Stanford University from September 2022 to August 2026 to develop digital tools and algorithms to improve diabetes care delivery and health equity. Specifically, the university will leverage sensor data and machine learning techniques to better understand patient types and needs, allocate limited provider resources efficiently, and design interpretable treatment...
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program aims to improve diabetes care through the development of personalized digital twin models. The $716,195 award to the Research Foundation for the State University of New York (RF SUNY) will fund the creation of virtual patient models that can learn from wearable health sensors and guide real-time insulin delivery using automated medical devices....
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $325,000.00 to the Massachusetts Institute of Technology (MIT) to develop 3D-integrated micro-photometer chips for monitoring neural dynamics in the brain. The project aims to elucidate the effects of beam collimation, compact chip size, and mechanical flexibility of implantable optoelectronic probes on the quality of in vivo deep-brain fluorescence recordings. The research team plans...
- The National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $300,000 EAGER (Early-Concept Grants for Exploratory Research) project grant to The Research Foundation for The State University of New York (RF SUNY) to establish near-ultraviolet (NUV) coherent anti-Stokes Raman scattering (CARS) microscopy for highly sensitive imaging of native biomolecules. This technology will be applied to develop label-free digital pathology for brain...
This $800,000 National Science Foundation project grant supports the development of label-free microscopy systems and algorithms for functional imaging and continuous monitoring of insulin granules in live pancreatic islets. Funded under the NSF Engineering program (CFDA 47.041), the three-year award to Beth Israel Deaconess Medical Center aims to advance understanding of diabetes through non-invasive study of insulin secretion dynamics. Specifically, the grantee will combine novel confocal broadband backscattering microscopy with existing confocal FRET and super-resolution STORM modalities to visualize insulin granules and monitor conversion of proinsulin into insulin without external labels. Physical and mathematical models will describe light scattering from granules to differentiate insulin and non-insulin compositions through inverse algorithms. Glucose exchanges will allow investigation of feedback loops in live human islet function. Insights could support transplant optimization and study of islets from diabetic and healthy donors.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $800.0k | 4/1/22 |