SBIR/STTR Research Award

Ultra-High Frame Rate Direct Detector for EBSD and TKD

Award identifier 0b6566375768f95b0a24da6a0e679a5c4fb2419e5662a24b82f137d8dd34eeddAwarding agency Department of Energy

Award amount

$149,917

Program and phase

SBIR · Phase I

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 Energy
Branch
Not reported
Recipient company
DIRECT ELECTRON, L.P.
Proposal award date
2019-02-19
Contract end date
2019-11-18
UEI
LM55T19DEWC6
Solicitation number
DE-FOA-0001940
Topic code
15f

Research abstract

Electron backscatter diffraction (EBSD) is a powerful and widely-used technique in scanning electron microscopy (SEM) for characterizing the microstructure, properties, and performance of materials. However, the limited speed and sensitivity of modern EBSD detectors remains a limiting factor to large-area, low-dose, or high-throughput EBSD analysis. We propose to develop a new ultra-fast direct detection camera for EBSD and TKD capable of collecting data at more than 100,000 patterns per second (pps). Such a camera will be the first application of direct detection technology for SEM and will be an astounding leap forward, dramatically improving throughput and enabling new SEM techniques. Since the increased data acquisition capabilities of this new detector technology will generate a torrent a data, this new EBSD sensor must ultimately be integrated in an end-to-end system that is designed to store, transfer, and process such large volumes of data. Such a system will couple in-hardware edge-computing for initial data reduction and processing, as well as high-speed data transfer and powerful GPU- or HPC-based software for real-time data analysis and reconstruction. During Phase I, an initial direct detection EBSD camera, based on Direct Electron’s newest-generation TEM direct detection cameras, will be developed. This camera will be sensitive to the low-energy electrons in an SEM and will be capable of acquiring EBSD data at a speed of 4,496 patterns per second (pps)—nearly twice as fast as the fastest currently-available phosphor-coupled EBSD detectors. The demonstrator direct detection camera will be used to evaluate and demonstrate high-speed acquisition of EBSD data with and without compressive sensing techniques for on-chip data reduction. Scanning electron microscopes (SEM) are ubiquitous in materials science laboratories, so significant improvements to the widely-used SEM techniques of EBSD and TKD is certainly commercially viable. An ultra- fast EBSD direct detector improves data quality, allows microstructural studies of large specimen areas, significantly improves the throughput of SEM instruments, and enables low-dose studies. As a new enabling technology, we expect broad reception of this new ultra-fast direct detection EBSD camera.

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

19 SBIR/STTR records share this UEI (2008–2024). Reported award amounts total $15,775,081. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Energy, Department of Health and Human Services, Department of Commerce

Agency intelligence

Department of Energy

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.