SBIR/STTR Research Award
Array Tomography Visualization and Analysis Software
Award amount
$431,724Program and phase
SBIR · Phase IIAward year
2014Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- ARATOME, LLC
- Proposal award date
- 2014-07-01
- Contract end date
- 2016-12-31
- UEI
- Not reported
- Solicitation number
- PA13-234
- Topic code
- 101
Research abstract
DESCRIPTION provided by applicant 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 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 Micheva and Smith 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 Alzheimerandapos s and Parkinsonandapos 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
Technology keywords
Not reported
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