Lung Injury; Relates to Real-Time Endoscopic Monitoring of Single Cells Respiratory Health in Lung

Abstract

The goal of this proposal is to design a portable bronchoscope that can determine the health status of the tracheal epithelial lining cells by analyzing changes in their metabolic profile. The device is intended to be used to quickly single out which individuals is showing injury and inflammation in the trachea and lung and therefore to provide them with the most adequate and early care. In this closing year 1 funding period, we have built the bronchoscope and done some preliminary testing on mouse trachea samples exposed to chemicals known to injure the tracheal epithelium. The size of the bronchoscope is quite small and will allow its transport and use by the military in the field or remote locations, while the small size of the instrument could permit its use on awake patients. Following evaluation of the field of research we have decided to develop a hybrid system Camera and Raster with two modalities: seek and focus. The former modality will allow low magnification scan of the trachea and lung airway to search for areas of interest that will then be analyzed in greater detail using the latter modality. Our preliminary data using tissue reflectance on mouse tracheal tissue have shown that our instrument can, indeed, successfully separate injured tracheal epithelial cells from the healthy ones without the use of additional reagents or chemicals.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2017
Accession Number
AD1048375

Entities

People

  • David Warburton
  • Francesco Cutrale
  • Gianluca Turcatel
  • Rex Moats
  • Scott E. Fraser

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Cells
  • Department Of Defense
  • Detectors
  • Endoscopes
  • Epithelium
  • Health Services
  • Hybrid Systems
  • Hyperspectral Imagery
  • Intellectual Property
  • Lung Diseases
  • Medical Personnel
  • Optics
  • Reflectance
  • Students
  • Tissues

Fields of Study

  • Medicine

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Neurotrauma and Rehabilitation Medicine.
  • Oncology and Biomarker-Based Cancer Detection.