SBIR/STTR Research Award

The Development of a Resonant Scanning MMM system for high resolution 3D CNS imaging

Award identifier f27dffb488fb678f6082d7581e4580bcb23212591aa64605bb39248870fb0f28Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$2,283,885

Program and phase

SBIR · Phase II

Award year

2019

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Tissuevision Inc
Proposal award date
2019-06-01
Contract end date
2021-05-31
UEI
JBZGADFHRNT6
Solicitation number
PA18-819
Topic code
101

Research abstract

PROJECT SUMMARY Central Nervous System disorders have proven to be among the most difficult of diseases to treat and have placed an enormous burden on society. A major contributing factor to this situation is that currently we often cannot distinguish between normal and pathological states since we do not possess even a basic andapos;ground truthandapos; map of how neurons and other cells are arranged at the nanoscale and macroscale level for representative pieces of neuronal tissue or whole organ. Extensive efforts are underway to build these fine scale structural maps of mammalian brains with the hope that these will lead to an understanding of the how brain ultimately functions and how best to target therapeutics. However the problem is immense as a single cubic mm of brain tissue contains about 100,000 neurons and roughly a billion synaptic connections and some of these neurons are thought to span across the brain. The overwhelming majority of these structural details are too small to be resolved with even the best optical microscopes and current super resolution approaches lack the necessary throughput. We propose to meet this challenge by developing an ultra-high speed Serial Two-Photon Tomography system that combines high speed resonant scanning with TissueVisionandapos;s novel multi-focal microscopy, and which will be able to quickly image 3D volumes of neuronal tissue with sub-micron resolution. We will further combine this with TissueVision’s novel automated slice collector module that automatically captures and mounts tissue sections onto slides. Working with our collaborators at the Allen Institute for Brian Science and at MIT we will apply this system to study the CNS cytoarchitecture by producing whole brain axonal reconstructions through the nano to macroscale. We will employ a recent technique the Boyden lab has developed called Expansion Microscopy (ExM) that physically expands tissue up to 8-fold and provides an effective nanoscale (~25nm) view into the structure of macroscopic portions of the CNS, and use this technique to aid axonal reconstructions of whole mouse brains from a novel suite of transgenic mouse lines that the Allen Institute has produced that target specific cell types. For this project, we have put together team of leading experts who have deep expertise with optics and neuroscience as well as a successful track record of commercializing biomedical imaging systems for the neuroscience market. While our focus here is on nanoscale imaging of CNS tissues, the device we will develop will represent a major tool for a variety of brain mapping efforts including whole brain neuronal circuit analysis and mesoscale mapping efforts.PROJECT NARRATIVE This proposal is to build a novel ultra-high speed resonant scanning Serial Two-Photon Tomography imaging system that combines resonant scanning with TissueVisionandapos;s multi-focal multiphoton microscopy technology. We will demonstrate its utility by applying it to axonal reconstructions of whole brains down to a nanoscale effective resolution. It will offer the highest speed for sub-micron 3D brain imaging and have broad utility for applications in neuroscience including brain mapping, neuronal circuit analysis and mesoscale connectivity.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

17 SBIR/STTR records share this UEI (2003–2025). Reported award amounts total $14,637,412. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.