NSF Phase II SBIR Awarded to InView for Multi-Spectral Camera Development

InView Technology Corporation, creator of the first shortwave infrared camera enabled by Compressive Sensing, has been awarded a Phase 2 SBIR by the National Science Foundation to develop a low-cost, multi-color shortwave infrared (SWIR) camera that can be directly mounted on microscopes for supporting compelling micro-imaging applications in scientific, industrial and biomedical imaging. The architecture of InView’s camera is based on Compressive Sensing, a new sampling technique that reduces data collection requirements for high resolution imaging to well below Nyquist limits. This design does not use expensive sensor arrays. Instead, high-resolution pictures are computationally constructed from single-detector measurements. During Phase 1 InView showed that slight modifications to its basic single-pixel camera can lead to color imaging without increasing cost or camera size, or reducing resolution. The camera resulting from this project can open price-sensitive research, medical imaging and surveillance communities to the benefits of the shortwave infrared (SWIR) waveband without the complexity or expense of traditional multi-spectral systems and can also support medical microscope and small animal imaging of infrared fluorescence for cancer research, detection, and localization.

“With this camera we can support the development of infrared fluorescence agents,” states Dr. Lenore McMackin, President and CTO of InView.  “At SWIR wavelengths there is no auto-fluorescence background and at the same time SWIR fluorophores enhance tissue penetration depth and efficiency by factors of 10 or more over visible or near infrared light.”

About InView

InView specializes in research and development of imaging, detection and tracking applications for its patented Compressive Sensing platform and the development of application-specific processing and analytical methods.  InView has 11 issued patents on its compressive sensing technology protecting its unique architecture, data acquisition and processing techniques and for enhancements to imaging speed and quality in the presence of noise.

About the National Science Foundation

This SBIR project is supported by the National Science Foundation (NSF) Industrial Innovation and Partnerships Division. The NSF is an independent federal agency that supports fundamental research and education across all fields of science and engineering. This announcement does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.