White Papers
Bodkin Design and Engineering Demonstrates Spectral Video Microscopy to support Advances in Medical Imaging
by Carson Roberts
Simultaneous measurement of over ninety spectral bands allows the identification of biologically important chemicals in real time in living tissues. At frame rates of up to 60 FPS, the chemical changes associated with processes such as blood flow, mitosis, apoptosis and endocytosis can be observed as they happen. For the preliminary demonstration, imagery was taken from a MONOprep® slide of prepared cervical epithelial tissue. Using a 100X oil immersion lens, cell nuclei and other sub-cellular structures were clearly visible in the hyperspectral image.
Video-Rate Chemical Identification and Visualization with Snapshot Hyperspectral Imaging
by Andrew Bodkin, A. Sheinis, A. Norton, J. Daly, C. Roberts, S. Beaven and J. Weinheimer
Hyperspectral imaging has important benefits in remote sensing and target discrimination applications. This paper describes a class of snapshot-mode hyperspectral imaging systems which utilize a unique optical processor that provides video-rate hyperspectral datacubes. This system consists of numerous parallel optical paths which collect the full three-dimensional (two spatial, one spectral) hyperspectral datacube with each video frame and are ideal for recording data from transient events, or on unstable platforms. We will present the results of laboratory and field-tests for several of these imagers operating at visible, near-infrared, MWIR and LWIR wavelengths. Measurement results for nitrate detection and identification as well as additional chemical identification and analysis will be presented.
Snapshot Hyperspectral Imaging – The Hyperpixel Array™ Camera
by Andrew Bodkin, A. Sheinis, A. Norton, J. Daly, S. Beaven & J. Weinheimer
Hyperspectral imaging has important benefits in remote sensing and material identification. This paper describes a class of hyperspectral imaging systems which utilize a novel optical processor that provides video-rate hyperspectral datacubes. These systems have no moving parts and do not operate by scanning in either the spatial or spectral dimension. They are capable of recording a full three-dimensional (two spatial, one spectral) hyperspectral datacube with each video frame, ideal for recording data on transient events, or from unstabilized platforms. We will present the results of laboratory and field-tests for several of these imagers operating in the visible, near-infrared, mid-wavelength infrared (MWIR) and long-wavelength infrared (LWIR) regions.
Hyperspectral Imaging: Staring Hyperspectral Technology for Military and Commercial Applications
by Jim Daly
EO/IR reconnaissance is of primary importance to Military Intelligence. A key tool to increasing the information content of reconnaissance imagery is the use of hyperspectral imaging. This technology divides the image data, pixel by pixel, into very narrow wavelength (color) bands. This high-resolution spectral data is effective in identifying previously hidden features in the image, and can distinguish camouflage paint from tree canopy, tag recently disturbed earth, identify compounds in chemical plumes, and provide data beyond the spatial resolution of the imaging system (sub-pixel resolution).
Hyperspectral Imaging at the Speed of Light
by Andrew Bodkin
Method of obtaining the spectral content of each pixel in a 2D image. This technology divides the image data, pixel by pixel,into very narrow wavelength (color) bands. The resulting 3D data cube (x, y, λ) allows materials to be identified by their pixel spectral content in addition to their spatial characteristics (see Figure 1). This high-resolution spectral data can effectively recognize unresolved features in the image. It can identify chemical compounds, distinguish camouflage paint from tree canopy, tag recently disturbed earth, and provide data beyond the spatial resolution of the imaging system.
Hyperspectral Techniques Overview
by Gideon Coltof
Spatially Scanned Hyperspectral Imagers which use a slit aperture to scan a scene over time to build a hyperspectral datacube. Spectrally Scanned Hyperspectral Imagers which use a series of filters, or a single tunable filter, to capture the colors in a scene over time to build a hyperspectral datacube.
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Our innovations in electro-optics and mechanics find a broad range of applications in military and commercial markets.
Our ongoing advanced technology development work is supported by several Small Business Innovation Research (SBIR) grants. These highly competitive grants stand as testimony to our capabilities.
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