Real-time monitoring of aquaporin-4 dependent astrocyte biophysical parameters using multi-dimensional optical imaging and deep learning

Abstract

Modelling brain functions requires methods to capture the biophysical parameters underpinning brain cell physiology. Recent research has focused on the key role played by astrocytes in supporting and modulating neuronal activity therefore controlling the correct brain information processing. We propose to investigate real-time monitoring of live label free astrocytes using multi-dimensional optical imaging and deep learning. This is an automated method using biophotonics instruments for analysis of the conditions of astrocytes and changes in their biophysical parameters by real-time examination of the cells at nano scales. The proposed cross disciplinary project is based on a transformative biophotonics sensing approach for real-time analysis of live astrocytes and offers an alternative to staining approaches which are detrimental to the health of astrocytes. The bio-photonic instrument employs computational multidimensional sensing and imaging at nano scales, operates with specially dedicated algorithms, and is integrated with image sensors to analyze astrocytes in real time to find potential clues to their state and conditions.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 06, 2025
Source ID
FA95502410128

Entities

People

  • Bahram Javidi

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Connecticut

Tags

Readers

  • Neural Network Machine Learning.
  • Neuroscience
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Biotechnology