SBIR-STTR Award

Inverse-designed lightweight, planar focus lenses for Vis to LWIR hyperspectral imaging
Award last edited on: 4/24/2026

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$179,960
Award Phase
2
Solicitation Topic Code
SF241-0013
Principal Investigator
Nicole Brimhall

Company Information

Oblate Optics Inc

13060 Brixton Place
San Diego, CA 92130
   (415) 272-8721
   commercial@oblateoptics.com
   www.oblateoptics.com
Location: Single
Congr. District: 50
County: San Diego

Phase I

Contract Number: FA9550-24-P-B014
Start Date: 9/30/2024    Completed: 3/31/2025
Phase I year
2024
Phase I Amount
$179,960
In this Phase 1 SBIR project, Oblate Optics will demonstrate feasibility of this innovative technology by creating the optical system with these nominal specifications (which can be adjusted based on input from stakeholders): l = 500nm to 12mm, effective focal length = 100mm, diameter = 100mm, and with as high a performance as as possible. We propose to use single-point diamond turning of Potassium Bromide (which we have prior experience with) using a commercially-available diamond-turning process for the final device. This process is extensible to larger apertures as required. After fabrication of prototypes, we will characterize their performance by measuring the wavelength-resolved point-spread function utilizing facilities at the Naval Research Laboratories (see letter of support attached). The performance will be compared against alternatives. However, we note that we are not aware of alternatives that cover this wavelength range, therefore comparison can only be made to separate optical systems that cover smaller portions of the total wavelength range.

Phase II

Contract Number: FA9550-26-C-B001
Start Date: 1/23/2026    Completed: 1/22/2028
Phase II year
2026
Phase II Amount
----
We have designed, fabricated, and validated a single-lens system capable of imaging across an unprecedented spectral rangeĀ—from visible to LWIR. This technology enables multi-spectral imaging using a single optical aperture. Building on our prior work demonstrating landcover classification from spectral data using machine learning, we now propose to develop an ESPA-class satellite-compatible imager payload that captures Vis-NIR and LWIR imagery and generates actionable target-classification maps through neural network processing. This compact, low-cost, and low-SWaP system is designed for scalable deployment in satellite constellations. Importantly, the novel optics at the core of this imager are fully manufacturable within the United States, supporting domestic supply chain resilience.