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Hyperspectral Imaging - Technologies & Application-ready solutions

Wednesday 11th October 2017


11.15 Introduction and welcome  

Key quality parameters in hyperspectral imaging systems
Trond Løke, Norse Elektro Optikk, Norway

Hyperspectral technology is constantly evolving and there are new suppliers coming to the market every year. Understanding the key quality parameters in a hyperspectral camera is increasingly important as new technologies reach the market.

This presentation will enable users to make a qualified comparison between cameras, not only based on top-level specification in the datasheet, but the actual specifications measured in the lab. The presentation will describe spatial and spectral resolution relative to pixels count, explain what spatial and spectral misregistrations to expect in a hyperspectral camera and the influence this will have on your data quality. Other important parameters, such as signal-to-noise ratio, straylight, polarization dependency, repeatability will also be discussed.

11.40 Multispectral imaging – the route to simple and cost effective imaging solutions
Henry Langston, Ocean Optics/Pixelteq, UK

Spectral and imaging technologies are advancing at a furious rate. Hyperspectral cameras produce huge data cubes that require large amounts processing power and complex algorithms to process. The value of applied spectroscopy however is in the answer, not the technology and simplified multispectral technologies offer a path to the rapid development of robust, cost-effective, small and efficient solutions. In this presentation we will explore pathways for developing applications and the appropriate selection of hyper and multispectral technologies.

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12.00 High spatial resolution hyperspectral camera based on a continuously variable filter
Dr Oliver Pust, Delta Optical Thin Film A/S, Denmark

The principle of this new approach to Hyperspectral Imaging will be presented, along with a characterization of the camera, real-world measurements, comparisons with reference data, simultaneous 3D measurements, and a snapshot version using light field technology.

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12.20 Hyperspectral cameras using tuneable interference filters
Dr Matt Gunn, University of Aberystwyth, UK

As applications for hyperspectral imaging become more widespread, the need for smaller, lighter, cheaper hyperspectral cameras able to operate in more extreme environments becomes more pressing. Driven by the need for a hyperspectral camera system suitable for use on the surface of Mars, several hyperspectral cameras using hard coated interference filters have been developed. Hard coated interference filters can be tuned either by exploiting their angle dependence or by making their thin film structure non-uniform. Hyperspectral cameras based on both angle tuneable and linear variable filters have been developed at Aberystwyth University. The working principles of these cameras along their calibration and data processing methods will be discussed and example data will be presented.

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12.40 Hyperspectral Imaging in Surgery and Colonoscopy
Dr Neil Clancy, University College London, UK

Optical absorption spectra of biological tissue contain clinically useful information related to its health. Chromophores such as haemoglobin, in particular, may be used to assess blood volume and tissue oxygen saturation within an organ, which gives an indication as to the health of its blood supply. Clinically, this can be used to guide surgical procedures, indicating areas of ischaemia, evaluating the success of organ reperfusion, and indicating areas of disease. We have developed systems for minimally invasive imaging in the clinic compatible with both rigid (laparoscopic) and flexible endoscopic platforms. The rigid system uses xenon illumination and a liquid crystal tuneable filter to switch between the wavebands that reach the camera. The measured absorption spectra at each pixel location are then decomposed into contributions from oxy and deoxyhaemoglobin, following an image registration step. The flexible system is a pushbroom hyperspectral imager coupled to an coherent optical fibre bundle, which can then be used inside standard colonoscopes. Both systems have been trialled in animal procedures and used to measure oxygen saturation dynamics within the large and small bowel, and the uterus intraoperatively. A clinical version of the flexible imager has also been used to image human colonic polyps in a recent pilot study. Hyperspectral imaging is proving to be a versatile tool at the clinician’s disposal, unveiling optical contrast and quantitative results that are otherwise invisible under standard imaging. Our studies have shown that it is possible to measure spatial changes in oxygenation longitudinally to follow the response of biological tissue to surgical provocation. Initial results have also demonstrated that this technique holds promise as a diagnostic instrument in the identification of abnormal tissue in minimally invasive procedures.

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13.00 Lunch Break  
14.00 Development of a clinically translatable hyperspectral endoscope exploiting a flexible fibre bundle and a spectrograph
Dr Jonghee Yoon, University of Cambridge, UK

Hyperspectral imaging measures both spatial and spectral information from a sample. The resulting 3D dataset, a ‘hypercube’, enables discrimination of spatial areas of the sample based on spectral information, which are otherwise morphologically indistinguishable. As a result, hyperspectral imaging has begun to be applied in biomedical applications such as cancer diagnosis and image-guided surgery. However, applications of hyperspectral imaging in endoscopy are still limited, due to challenges associated with adapting the instrumentation into a flexible endoscope based on an imaging fibre bundle. Here, we developed a hyperspectral endoscope exploiting a line-scanning spectrograph configuration that overcomes these challenges. The optimal spatial and spectral resolution of the developed hyperspectral endoscope are 152.0 ± 3.3 mm and 1.00 ± 0.05 nm, respectively. We show that it is possible to retrieve accurate spectral and spatial data from both test target and biological samples via our hyperspectral endoscope. Our next step is to apply the technique to ex vivo tissue obtained from patients to evaluate the potential of our hyperspectral endoscope to detect abnormal spectral features of cancerous lesions in vivo.

Jonghee Yoon1,2, James Joseph1,2, George Gordon3, A Siri Luthman1,2, D J Waterhouse1,2, Calum Williams3, and Sarah E. Bohndiek1,2,* 1University of Cambridge, Department of Physics, JJ Thomson Avenue, Cambridge CB3 0HE, United Kingdom 2University of Cambridge, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom 3University of Cambridge, Electrical Engineering, JJ Thomson Avenue, Cambridge CB3 0HE, United Kingdom

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14.20 Hyperspectral imaging for high detailed phenotyping: challenge of dynamic and complex environment
Dr Nicolas Virlet, Rothamsted Research, UK

Multi-and hyperspectral imaging have been intensively used by the scientific community over the last decades to monitor vegetation development and quantifying effect of various abiotic/biotic stress on crops in agriculture.  Recently, those technologies and tools have been applied to explore the existing genetic diversity of complex traits, such as yield or nitrogen use efficiency, and dissect their regulation using forward genetics approaches. The development of close range vectors such as UAV or ground based platform allow to increase spatial and temporal resolution as well as the resulting challenges as dynamic ambient illumination or plant geometry. A close attention should be paid to those challenges as they might strongly affected the signal acquired and created a bias in deciphering genotypic to environmental effects. Here, examples of challenges from the ground-based phenotyping platform developed at Rothamsted Research and progress to date will be presented.

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14.40 Hyperspectral Remote Sensing: From AVIRIS to Everyone
Scott Konley, Photon Lines Ltd (Resonon, USA)

A brief history of airborne hyperspectral remote sensing: From very large, expensive systems with limited availability, to small, affordable systems available to everyone.  Whether used for early detection of crop stress, forest composition and health, monitoring toxic algae blooms in lakes and oceans, or examining surface mineral properties of mountain ranges, hyperspectral imaging is rapidly becoming an integral component of precision remote sensing.

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15.00 Compact hyperspectral imaging solutions using thin film filters for drone and small satellite based earth observation
Bavo Delauré, VITO NV, Belgium

Over the last years VITO has been creating and shaping the various building blocks of compact hyperspectral imaging solutions to ensure compatibility with the emerging remote sensing platforms like small drones and satellites. This opens the path to monitor our environment in full spectrum at high revisit rate. A particularly well-suited technology from camera perspective is based on thin film interference filters (or linear variable filters – LVF) which can nowadays be deposited directly onto imaging sensors, as demonstrated by imec. VITO has developed an innovative processing core to solve the complex challenges connected to transforming raw data into an information mapproduct which was demonstrated by means of the prototype COSI-Cam for small drones. This has resulted into the ButterflEYE LS system, jointly developed by Cubert and VITO. In parallel a development trajectory will exploit the same technology for small satellites using larger image sensors. An in orbit demonstration of the Hyperscout instrument under the lead of Cosine (Nl) is planned to start later this year.

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15.20 High-speed Hyperspectral System in the NIR for plastics recycling and other applications
Dr Andy Tomlinson, Phase Photonics
15.30 End of meeting.  

The exhibition remains open until 17:00


The 2017 Conference and Industry Programme, run by Enlighten Meetings with its partners, covers application and technology advances, innovations and emerging technologies.

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Dr Nick Barnett
Pro-Lite Technologies

Dr.-Ing. Oliver Pust

Delta Optical Thin Film A/S