Nanowire Multispectral Sensor Filters for Compact Spectral Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multispectral sensors are bulky, expensive, and power-consuming, making them impractical for widespread use, while existing imaging systems struggle to accurately distinguish materials with similar visual appearances.
Innovation Solution
A CMOS-integrated multispectral imaging sensor using nano-structured semiconductor optical filters on each pixel to capture specific wavelengths, enabling compact, portable, and low-power operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional multispectral sensors are used, then spectral detection capability is achieved, but device size and cost increase significantly
Solution Approach 1:
The patent transitions from traditional bulk optical filters to nanoscale wire structures, utilizing the nanodimension to achieve spectral filtering. The nanowires have diameters on the order of tens to hundreds of nanometers, allowing spectral selectivity at a fundamental scale rather than through macroscopic optical components, thereby dramatically reducing device size while maintaining spectral resolution
Solution Approach 2:
The patent employs varying geometric parameters of the nanowires (diameter, length, spacing, and arrangement patterns) to tune the spectral response. By changing these parameters, different spectral bands can be selected without requiring different physical filter materials or bulky optical components, enabling compact multispectral imaging through parameter optimization rather than structural complexity
2Measurement precision
If traditional multispectral sensors are used, then spectral detection capability is achieved, but power consumption increases
Solution Approach 1:
The nanowire structures function as passive optical filters that operate without requiring external power input. The spectral filtering is achieved through the inherent optical properties and geometric configuration of the nanowires themselves, rather than through active components like electro-optic modulators or programmable filters that would consume power. This self-service approach enables multispectral detection with minimal energy consumption
Solution Approach 2:
The patent replaces active mechanical or electronic filtering systems with passive nanoscale optical structures. Instead of using movable filters, liquid crystals, or electronically controlled components, the spectral selection is achieved through the fixed geometric arrangement and dimensions of the nanowires, which are manufactured once and remain static during operation, eliminating continuous power requirements
3Device complexity
If nanowire arrays are used for optical filtering, then device compactness is achieved, but manufacturing precision requirements increase
Solution Approach 1:
The patent divides the optical filtering function into discrete nanowire elements that can be independently controlled. Each nanowire or group of nanowires can be designed with specific geometric properties to target particular spectral bands. This segmentation allows for modular design and fabrication, where standard semiconductor manufacturing processes can be used to create arrays of identical or varied nanowires through lithographic patterning, reducing the overall precision burden compared to monolithic filter designs
Solution Approach 2:
The patent uses variations in nanowire geometric parameters (diameter, length, spacing, orientation) as the primary means of achieving spectral selectivity. These parameters can be controlled through standard semiconductor fabrication techniques such as lithography and etching, where dimensional control at the nanoscale is routinely achieved. By encoding spectral information in geometric parameters rather than requiring complex multi-layer structures or precise alignment of multiple components, the manufacturing precision requirements are managed through established industrial processes
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution provides high spatial and spectral resolution, allowing for accurate material identification and chemical composition detection, while being cost-effective and energy-efficient.
Implementation Method 1
The first optical filter includes a first lattice of nanowires having a first geometric property and configured to detect light within a first spectral band
Implementation Method 2
configured to detect light within a first spectral band
Implementation Method 3
anisotropically dry etching the second intermediate structure to produce a nanowire lattice. Each nanowire from the nanowire lattice can have a length that is substantially the same as the thickness of the semiconductor layer
Implementation Method 4
photolithographically defining a photoresist pattern on the semiconductor layer to produce a second intermediate structure
Data Source
AI summary
An apparatus includes a multi-spectral sensor and an image sensor. The multi-spectral sensor includes a spectrometer having at least a first optical filter and a second optical filter. The first optical filter includes a first lattice of nanowires having a first geometric property and configured to detect light within a first spectral band. The second optical filter includes a second lattice of nanowires having a second geometric property and configured to detect light within a second spectral band. The first spectral band and the second spectral band can at least partially define a spectral resolution of the spectrometer. The image sensor includes a first pixel configured to generate a first signal in response to receiving the light within the first spectral band, and a second pixel configured to generate a second signal in response to receiving the light within the second spectral band.


