New Technology Enables Standard Cameras to Produce Hyperspectral Images Faster and at a Lower Cost Than Current Options

Researchers at Ben-Gurion University of the Negev (BGU) have developed miniaturized hyperspectral technology as an add-on for a standard camera that will generate superior quality images and video faster and at a lower cost than currently available commercial devices.

 

Hyperspectral cameras process and analyze information at different light wavelengths on the electromagnetic spectrum, capturing extremely high quality spatial and resolution images beyond what the unaided human eye can see. The technology is used in a wide range of industries including homeland security surveillance, medical imaging, petroleum, mining, aerospace, and agriculture. 

 

The BGU device, developed by four BGU researchers, can re-purpose a standard camera for a plethora of applications, including micro-detection of cancer cells or measuring contaminants in water, with close to 100 percent precision. At only a few tens of microns wide, thinner than a human hair, the device is easy to produce, using commonly available materials such as liquid crystal. 

 

The global hyperspectral imaging systems market is projected to reach $12.71 billion by 2021, according to a Markets and Markets Report published in January. Netta Cohen, chief executive officer of BGN Technologies, the technological transfer company of BGU, says "the hyperspectral marketplace has increased significantly in the last five years. This new invention, with a commercial partner, will help lower the cost of hyperspectral cameras and make it far more accessible to professional photographers. It will also help expand the use of hyperspectral imaging technology in the electronic test and measurement (T&M) instrument market." 

 

Prof. Adrian Stern, head of BGU's Unit of Electro-Optical Engineering says, “The technology uses our software based on 'compressive sampling,' which minimizes collection of redundant data during image capture, making the camera at least 10 times faster and creates spectral images of a markedly superior quality." Compressive sampling captures signals and images from much fewer samples or measurements than the traditional Nyquist-Shannon sampling theorem on which cameras and sensing devices have been based for 100 years. 

 

“Instead of using a large and heavy prism inside the camera, we developed a very small, tunable filter and sensor that are activated by electrical current," says Prof. Dan Blumberg, BGU vice president and dean for research and development, who is also part of the research team. “Every time the current changes, a photo is taken." 

 

The development team also includes Prof. Stanley Rotman of the Department of Electrical and Computer Engineering and Dr. Yitzhak August, a former Ph.D. student in the Electro-Optical Engineering Unit.