SBIR/STTR Research Award

SBIR Phase I:Ultrathin endomicroscope

Award identifier 90211a99c985421114d5a83f868c4cbc31d56b227e62bdb0806f9b9ff50a3b08Awarding agency National Science Foundation

Award amount

$256,000

Program and phase

SBIR · Phase I

Award year

2022

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
National Science Foundation
Branch
Not reported
Recipient company
Modendo Inc
Proposal award date
2022-08-01
Contract end date
2023-04-30
UEI
HRW3QRF7LP38
Solicitation number
NSF 21-562
Topic code
BM

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to empower brain scientists with a high-resolution optical imaging instrument to reach currently inaccessible regions of the brain with minimal damage. The instrument contains thin fiber optics probes that enable access to very narrow cavities within the body or penetration of tissue. Deep brain imaging, photo-stimulation, and photo-ablation are possible applications, all of which could help understand brain function and potentially unlock treatments for brain diseases. The imaging instrument to be developed in this project may be amenable to scientific studies in animal models, addressing the need of neuroscientists and imaging facilities. The proposed technology could bring about innovations in biophotonics instrumentation as well as in the ensuing biomedical applications.The project seeks to advance novel imaging technologies with broad applicability addressing a new segment in the endoscopy market.This Small Business Innovation Research (SBIR) Phase I project addresses a critical need in scientific brain imaging studies for endoscopes that are minimally invasive with a diameter in the order of 100 microns, which represents a cross-area about 10 times smaller than the thinnest existing endoscopes. While current endoscopes are appropriate for insertion in large cavities, their size produces excessive damage in brain imaging applications. The objective is to develop a new class of fundamentally less invasive techniques to investigate novel imaging probes, and to validate a prototype instrument in animal models. It is anticipated that in-vivo imaging of neurons with subcellular resolution at depth will become routine with minimal tissue damage. This novel imaging approach implements wavefront shaping in multimode fibers, using advanced machine learning and signal processing methods, to generate arbitrary digitally-reprogrammable light patterns and 3D images. The ultrathin endomicroscope (UTE) uses a spatial light modulator to first calibrate the fiber and then scan light at high speed, compensating for the inherent modal dispersion and intermodal coupling.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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.

Research funding history

3 SBIR/STTR records share this UEI (2022–2024). Reported award amounts total $2,060,233. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Health and Human Services

Agency intelligence

National Science Foundation

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.