Neurodegenerative diseases are among the most expensive, disruptive, and least well treated of human maladies, arguably because they are not well understood. Array Tomography is a new method for tissue imaging with resolution in all three dimensions sufficient to resolve individual synapses and provide quantitative characterization of multiple (currently ~40) molecular constituents, throughout large samples. Array Tomography imaging data enable description of neural networks in the context of the three-dimensional tissue architecture. We believe such data will enable researchers to begin to comprehend the proper function of neural circuits and, importantly, to begin to understand how it is that the various neurodegenerative processes present and progress. Array Tomography is, however, complex and expensive, and has been used in relatively few studies following the first publication in 2007 (Micheva and Smith, 2007). Aratome is currently offering Array Tomography services to the research community. The present application proposes the development of a software application that automates the assembly of the multi- channel image volumes and provides tools to analyze those data. Assembling and analyzing data constitute the current bottleneck in producing and using high quality Array Tomography data. The package will be used internally and made available as a product to the research community.

Public Health Relevance

Neurodegenerative diseases, including Alzheimer's and Parkinson's, are becoming increasingly prevalent as the population ages. Efforts to develop treatments for these diseases have been hampered by a lack of basic understanding of the disease processes, due in part to the lack of technologies that provide quantitative information regarding the disease progression. We are continuing to develop and commercialize technologies for high-resolution proteomic analysis of the brain to better understand these pathologies, which should enable the development of more effective treatments.

Agency
National Institute of Health (NIH)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
2R44MH096671-02A1
Application #
8780498
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Grabb, Margaret C
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Aratome, LLC
Department
Type
DUNS #
City
Menlo Park
State
CA
Country
United States
Zip Code
94025