NIH-funded research Sbir 2 grant

AI for Understanding Brain Connections

Official title: Next generation axonal quantification and classification using AI

Funded at Microbrightfield, LLC · NIH-11093531 · Data updated 2026-11-12

This project is creating new software that uses artificial intelligence to better see and measure the tiny connections in the brain, helping scientists understand brain conditions.

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionMicrobrightfield, LLC
NIH-funded
Lab location1 site (Williston, United States)
Project startAugust 19, 2021
Project endJune 30, 2026
Funding year2025
Award (this year)$850,143
NIH project number5R44MH128076-04
Project IDNIH-11093531 on NIH RePORTER

Who could benefit from this research

Could help

While this project does not directly involve patient participation, future patients with neuropsychiatric and neurological disorders could benefit from the advanced research enabled by this tool.

Less likely to help

Patients who do not have conditions related to brain connectivity or neurological disorders may not directly benefit from the insights gained through this specific software development.

What this research studies

This project is developing advanced software called HyperAxon™ that uses artificial intelligence to analyze detailed images of brain tissue. This software can automatically identify, trace, and measure all the nerve fibers, or axons, in two- and three-dimensional microscope pictures, even in very dense areas. By doing this, researchers can get a much clearer picture of how brain connections are organized and how they might be affected by injury or disease. This improved analysis will help scientists learn more about conditions affecting the brain and nervous system.

Why it matters

Potential benefit: This technology could help researchers gain deeper insights into how brain connections change in various neurological and neuropsychiatric disorders, potentially leading to new ways to understand and treat these conditions.

How similar studies have gone: This project builds upon existing lab-built technology from MIT Lincoln Laboratory, extending it with new deep neural networks, representing a novel advancement in automated axonal analysis.

Where this research is happening

  • Microbrightfield, LLC
    Williston, United States
    Active

Researchers

  • Principal investigator: Glaser, Jacob R — Microbrightfield, LLC
  • Study coordinator: Glaser, Jacob R

Related research

Other NIH-funded projects on the same topics.

  • A new microscope for imaging brain activity

    This study is testing a new type of microscope that helps scientists see how brain cells talk to each other in real-time, which could help us understand brain function better and find new ways to treat brain disorders.

    NIH research Microbrightfield, LLC · Williston, United States · NIH-11003971

  • A new method for analyzing RNA and protein distribution in brain tissue.

    This study is testing a new way to look at brain tissue more clearly, which could help us understand brain diseases better and improve treatments for patients.

    NIH research Microbrightfield, LLC · Williston, United States · NIH-10906114

  • New technology for imaging brain activity in real-time

    This study is testing a new type of microscope that helps scientists see how brain cells in mice work together, which could lead to better treatments for brain disorders that affect people like you.

    NIH research Microbrightfield, LLC · Williston, United States · NIH-10897999

  • Automated analysis of axonal fibers in the brain using advanced software

    This study is testing a new software called HyperAxon™ that helps scientists look at brain tissue more closely by automatically mapping the tiny nerve fibers, which could help us understand brain connections and changes in conditions like neurological disorders.

    NIH research Microbrightfield, LLC · Williston, United States · NIH-10868467

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.