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Pittsburgh, PA, United States

NanoLambda, Inc. | Date: 2011-09-22

Miniature spectrometers produce low resolution spectral data due to their size limitations. A method for processing these spectral data is proposed. The spectral data from a low resolution spectrometer is enhanced to a higher resolution, or processed to be in the wavelength domain. This process is called spectrum reconstruction, and can be used in low cost and miniature spectrometers with limited spectral resolution. The proposed method is noise robust, adapts to input spectrum, and can be used across many types of spectrometric devices without any manual adjustment of parameters.

Agency: National Science Foundation | Branch: | Program: STTR | Phase: Phase I | Award Amount: 150.00K | Year: 2007

This Small Business Technology Transfer (STTR) Phase I project will investigate the feasibility of developing an ultra-compact, high-resolution and low-cost spectrometer-on- a-chip, based on plasmonic nanowire arrays. In response to the growing demands for non-invasive point-of-care diagnostics, there have been many efforts to miniaturize optical spectrometers using various conventional technologies. However they are not yet conducive to both dramatic miniaturization and also high spectral performance at low production cost. Unlike the bulky and expensive conventional diffractive optical devices, the proposed nano-optic device utilizes the wavelength-dependent plasmonic phenomena occurring on metal nanowire surfaces and the gaps between the metal nanowires. This nano-optic filter array is expected to enable a high resolution spectrometer on a chip, overcoming the limits of diffractive optics. If successful the proposed ultra-compact high-resolution low-cost spectrometer-on-a-chip can be used in various applications such as mobile/wearable health monitoring, multiple gas detection, and high-resolution color sensing. Consumer electronics manufacturers, portable medical device vendors, and wireless sensor node suppliers can be all potential customers. As a key component to these markets, it is anticipated that the total addressable market for the proposed spectrometer-on-a-chip will be over $1 billion in 2012. The proposed activities will contribute to advancing personalized point-of-care, environmental monitoring, and homeland security by enabling non-invasive, reliable, high-throughput, low-cost sensing, detection and diagnostics. Overall it will result in health care cost reduction, and enhancement of the quality of life. They will also provide solid understanding of the phenomena occurring when a light interacts with nanostructured metal. Successful completion of this project will also open up new application opportunities in the convergence areas of information, bio and nanotechnologies.

NanoLambda, Inc. | Date: 2012-09-07

A spectrum sensing method includes (a) receiving an incident radiation simultaneously through a filter array composed of multiple bandpass filters, (b) digitizing spectral responses of the filter array, and (c) generating an estimate of spectral profile of the incident radiation based on digitized spectral responses of the filter array.

Agency: NSF | Branch: Standard Grant | Program: | Phase: STTR PHASE II | Award Amount: 100.00K | Year: 2011

NanoLambda, Inc has requested support for a one year membership to the Agile Innovation System that was recently selected as the recipient of the Economic Development Administrations Region 1 i6 award.

In collaboration with the Agile Innovation Process project team, this proposal will complete the monolithic fabrication of the nano-optic filter array structure directly onto the CMOS detector array on a wafer scale, to form a spectrometer-on-a-chip. The proposed ultra-compact and low-cost spectrometer-on-a-chip can be used in various applications such as mobile/wearable health monitoring and high-resolution color sensing.

As part of a winning team for the i6 Challenge Award program, Innovation Works and Carnegie Mellon University will collaborate with NanoLambda to more effectively move federally funded research towards successful technology product commercialization.

The proposed ultra-compact and low-cost spectrometer-on-a-chip can be used in various applications such as mobile/wearable health monitoring and high-resolution color sensing. Consumer electronics manufacturers and portable medical device vendors can be potential customers. Considering the manufacturability of the proposed technology and the readiness of the markets, it is feasible to commercialize the technology within 2 years. The proposed activities will contribute to not only ensuring the high quality of color in the consumer electronics industry but also advancing personalized point-of-care, environmental monitoring, and homeland security. The proposed project will also contribute to the maturation of the Agile Innovation Process project of the i6 challenge winning team in the region.

Kurokawa U.,NanoLambda, Inc. | Choi B.I.,NanoLambda, Inc. | Chang C.-C.,National Taipei University of Technology
IEEE Sensors Journal

Miniature spectrometers provide a cost and size advantage over traditional spectrometers. However, unlike traditional spectrometers in which appropriate dispersive optics and/or interferometric devices are well-developed, miniature spectrometers usually do not have ideal (or close to ideal) wavelength-specific filtering mechanism to resolve the power of the input spectrum at specified wavelengths. Hence, the raw outputs from the filtering mechanism may not be adequate to represent spectra of measured objects. The nonideal filtering mechanism makes reconstruction process necessary. In this work, the method of Tikhonov regularization for stabilizing the solution of inverse problems is applied to a prototype filter-based nano-optic spectrum sensor from nanoLambda. L-curve criterion and generalized cross validation (GCV) criterion for adaptively selecting the regularization parameter are examined. Satisfactory results are obtained by exploiting non-negative constraints on the reconstructed spectrum, with the regularization parameter being selected by the L-curve criterion. As a result, low-cost miniature spectrometer on-a-chip can be realized. © 2010 IEEE. Source

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