Plant Science and Agricultural Research

Hyperspectral Imaging of Whole Plants

Capturing information that you might otherwise be missing

DSC_0918.JPGHyperspectral imaging can be used to monitor a wide range of plant processes.  Middleton Spectral Vision can bring the power of hyperspectral imaging into your greenhouse, customizing the system to meet your research goals.   

Middleton Spectral Vision will configure the right combination of cameras, lenses, and illumination sources to maximize the information in the wavelength ranges that best reveal the plant processes and features the researcher is interested in.  

Beyond the optical components, Middleton can configure and build a complete system with the right level of automation for the situation and software to coordinate the data collection.

Please contact Middleton Spectral Vision to discuss your particular configuration needs.

Making good use of your data

To make the most of your plant image data, Middleton has developed several software packages for visualizing your hyperspectral data.  The InSight-MCR Software is a particularly powerful analysis package built around a high-speed implementation of Multivariate Curve Resolution (MCR) licensed from Sandia National Labs.  MCR analysis is useful to discover unique spectral components that differentiate various plant characteristics, and the software provides tools for storing and reusing spectral components for future analyses.

The images below show an example of a spectral component derived from images of potato plants, then applied to an image of a corn plant .  The plots in Figure 1 depict two spectral components resembling Chlorophyl and Carotenoid along with a third component as found by InSight-MCR and recognized as resembling Anthocyanin.  The hyperspectral images were captured with a VNIR camera (400 - 1000 nm).  Figure 2 shows a composite image representing the relative concentrations of each of the three components observed  (full spectral signatures) at each pixel.  Figure 3 shows the same three spectral components in the image of a corn plant captured with the same camera.

Figure 1: Three spectral components found in a set of potato plant images using MCR analysis.

Figure 2: Spectral composite of a rotating potato plant. The R, G, B components of this composite image correspond to the three spectral components in Figure 1
Figure 3: The same three spectral components used to make a composite image of a corn plant scan.

Please see the Insight-MCR Software page for more information about this powerful analysis tool, or contact Middleton Spectral Vision to discuss your particular application needs.

Speak to a Middleton representative

Our scientists and engineers are available to help you understand how spectral imaging technologies might be appropriate for your application or to help you identify the specific components that best help to accomplish your goals. Call us!

Let us solve your problems

Middleton Spectral Vision prides itself in rapid turnaround of feasibility testing and prototyping solutions. Team up with our engineers to discover the best technologies and components to solve your measurement needs.

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Middleton Spectral Vision is SPECIM's US distributor for hyperspectral components and systems. Contact us for information and pricing on market-leading SPECIM products.