Plant Science and Agricultural Research

Laboratory Applications - Including Hyperspectral Fluorescence Imaging

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Hyperspectral imaging can be used to discover or measure many different phenomena in plants and plant materials.  

Many plant biology experiments in the laboratory rely on various imaging technologies to track growth of small or emerging plants or to study small samples of plant materials in a highly controlled environment.  Middleton Spectral Vision brings the powerful capabilities of fluorescence imaging and hyperspectral imaging to the research lab to help scientists discover new insights into plant processes.

Specialized Imaging Systems

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Reflectance imaging example: Lettuce leaf moisture visualized based on absorbance near a spectral feature in the Near-InfraRed (NIR) range

Middleton Spectral Vision can design and build bench-top systems with a range of imaging technologies.

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Hyperspectral imaging systems combine cameras, spectrographs, lenses and illumination to capture VNIR (400-1000 nm), NIR (950-1700 nm) and SWIR (1000-2500 nm) regions of the spectrum.  Components are selected based on research goals to enable the observation and measurement of specific chemical processes or structures in the plant material that would otherwise be invisible.   

Our laboratory scanning systems integrate optical components with data collection software and mechanized sample handling to optimize both the effectiveness and efficiency of the data capture process.  

  • The Insight-Lab System offers both fluorescence and (VNIR) reflectance imaging from a single platform designed specifically for the needs of plant research.  
  • The Via-Spec Measurement Stages can be configured with different cameras to capture various spectral regions.  These systems have several illumination options and provide both reflectance and transmission configurations from the same instrument.

Software Tools

Middleton Spectral Vision also provides the software tools that you need to make sense of your data, including multivariate analysis techniques.  The powerful InSight-MCR software implements Multivariate Curve Resolution for discovering unique interpretable spectral components that utilize the full wavelength range of the hyperspectral data.

Learn more about our solution for discovering unique spectral components from your data at the InSight-MCR Software product page. 

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Fluorescence imaging example of cilantro leaf: three spectral components (Chl-a, Chl-b, and Photo System 1) derived using InSight-MCR

References related to the MCR analysis approach:

  1. Pedroso, M. C.; Sinclair, M. B.; Jones, H. D. T.; Haaland, D. M., Hyperspectral Confocal Fluorescence Microscope: A New Look into the Cell. Microscopy Today 2010, 18, (05), 14-18.
  2. Howland D. T. Jones, David M. Haaland, Michael B. Sinclair, David K. Melgaard, Mark H. Van Benthem, and M. Cristina Pedroso, “Weighting hyperspectral image data for improved multivariate curve resolution results,” Journal of Chemometrics, 2008; 22: 482-490. 

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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Looking for SPECIM products?

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