Automated analysis of axonal fibers in the brain using advanced software

Next generation axonal quantification and classification using AI

['FUNDING_SBIR_2'] · MICROBRIGHTFIELD, LLC · NIH-10868467

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.

Quick facts

Phase['FUNDING_SBIR_2']
Study typeNih_funding
SexAll
SponsorMICROBRIGHTFIELD, LLC (nih funded)
Locations1 site (WILLISTON, UNITED STATES)
Trial IDNIH-10868467 on ClinicalTrials.gov

What this research studies

This research focuses on developing HyperAxon™, a cutting-edge software designed to automatically analyze axonal fibers in brain tissue. By utilizing advanced deep learning techniques, the software can accurately segment, trace, and reconstruct axonal fibers in both 2D and 3D microscopy images, even in areas with high fiber density. This innovative approach aims to provide researchers with deeper insights into neural connectivity and the changes associated with neurological disorders. The software will be tested on both animal models and human post-mortem tissue to validate its effectiveness.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals with neuropsychiatric or neurological disorders who may benefit from enhanced diagnostic tools.

Not a fit: Patients with conditions unrelated to axonal injury or those not requiring advanced imaging techniques may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to improved understanding and diagnosis of neuropsychiatric and neurological disorders.

How similar studies have performed: Other research has shown promise in using advanced imaging and AI techniques for analyzing neural structures, indicating potential success for this novel approach.

Where this research is happening

WILLISTON, UNITED STATES

Researchers

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 below.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.