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2-D and 3-D Surface Mapping Across Multiple Microscopy Platforms

ID: 6b • Type: SBIR / STTR Topic • Match:  90%
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Description

b. 2-D and 3-D Surface Mapping Across Multiple Microscopy Platforms Research is needed in machine vision approaches that correlate features in the spatial fields-of-view between optical microscopy platforms and analytical images obtained by other means such as SEM, SEM-Energy Dispersive Spectrometry (EDS), and SIMS. Software algorithms and/or instrumentation developed in this subtopic is of value to enable (i) scans of surfaces using various microscopies (e.g., electron or optical), (ii) image correlation to align and overlay images from combinations of imaging platforms, (iii) accurate indexing of features of interest on microscopy platforms to resolutions of 1 micrometer or better, and/or (iv) 3-D mapping of surface topography to assess surface uniformity as a function of position. Sample substrates typically require conductive materials such as metal-coated glass, silicon, or carbon and require registration at or better than the one-micrometer scale. Techniques are desired to assess surface uniformity, curvature, or address morphology as a function of position, for optically rough surfaces of the order of one square centimeter. Questions Contact: Timothy Ashenfelter, Timothy.Ashenfelter@nnsa.doe.gov

Overview

Response Deadline
Feb. 22, 2021 Past Due
Posted
Dec. 14, 2020
Open
Dec. 14, 2020
Set Aside
Small Business (SBA)
Place of Performance
Not Provided
Source
Alt Source

Program
SBIR/STTR Phase I
Structure
Grant
Phase Detail
Phase I: Establish the technical merit, feasibility, and commercial potential of the proposed R/R&D efforts and determine the quality of performance of the small business awardee organization.
Duration
6 Months (SBIR) or 1 Year (STTR)
Size Limit
500 Employees
Eligibility Note
Requires partnership between small businesses and nonprofit research institution (only if structured as a STTR)
On 12/14/20 Department of Energy issued SBIR / STTR Topic 6b for 2-D and 3-D Surface Mapping Across Multiple Microscopy Platforms due 2/22/21.

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