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Benchtop Hyperspectral System – Transmission. Perfect for any of 7 Resonon Imagers.

The Benchtop Hyperspectral System – Transmission Configuration is used to acquire transmission data in a laboratory environment.



The Benchtop Hyperspectral System – Transmission Configuration

is used to acquire transmission data in a laboratory environment.  The sample sits on a clear stage and is illuminated from below.  During data acquisition the stage moves, translating the sample beneath the imager.  The imager and stage are controlled using Spectronon software.

A high-intensity halogen backlight provides stabilized broad-band illumination across the entire measured spectra.  The imager is adjustable along the length of the tower.

Resonon’s systems contain all hardware and software necessary to acquire and analyze hyperspectral data.
Benchtop hyperspectral systems can be fitted with any of Resonon’s hyperspectral imaging cameras covering the 330 – 1700 nm spectral range.

Benchtop Hyperspectral System components:

  • Hyperspectral imaging camera
  • Objective lens
  • Linear translation stage
  • Mounting tower
  • Halogen backlight with stabilized power supply
  • Spectronon software pre-loaded onto a laptop computer

Resonon’s benchtop hyperspectral systems are rugged and built to last, and we guarantee their performance. All our products include a two-year warranty. For details, click here for Warranty and Repairs.

Power requirementsCompatible with 110V / 220V outlets.
Stage Length (cm/in)30 / 12
Tower Height (cm/in)89 / 35
Hyperspectral Terminology GlossaryClick here

Download Benchtop Hyperspectral System – Transmission Data Sheet


Tutorial Video

Focusing the Hyperspectral Camera in the Benchtop System

Calibrating the Benchtop System

Setting the Aspect Ratio in the Benchtop System

Data Acquisition in the Benchtop System

Data Analysis Using Spectronon Software


Hyperspectral Imaging: What is it and how does it help me?

What is hyperspectral imaging? Hyperspectral imaging yields more accurate color and
material identification by providing far more detailed information for each pixel as compared to
conventional imaging such as a color camera. In contrast to a color camera that has only three
channels, the light signal is divided into many tens to hundreds of bands or channels. As
discussed below, this additional resolution improves machine vision accuracy, often

Hyperspectral imaging sounds like something new, but it is really just a logical extension of
conventional spectroscopy. A spectrometer spreads a light beam into a continuous band of
“colors.” This can be done with a prism, for example. The bands of colors taken together is
referred to as a spectrum of the light beam, and the study or use of light spectra is called
spectroscopy. A hyperspectral imager acts like hundreds of spectrometers in parallel, which
provides a spectral curve for each pixel in a scene, as indicated schematically in Figure 1.

Why is it useful? In contrast to a human brain, which uses only three primary colors seen by
the human eye, computer vision systems can utilize many more color channels. As an example,
consider the color image of two types of candy shown in Figure 2. One of the candy types is
positioned in the shape of an “I.” A conventional color imaging system would have great
difficulty discriminating between the two similarly colored candy types (as do many humans).

Hyperspectral imaging provided more information per pixel, which is
particularly useful for distinguishing between similarly colored objects or materials. Outputs can
be interfaced to robots, airjets, labeling devices, etc. Much like the human eye, hyperspectral
imaging can be applied to a wide range of applications, including quality control (lumber,
textiles, paper, building materials, drugs), process control (thin films, moisture content, color),
sorting (food, recyclable materials, minerals), remote sensing (ocean color, environmental
monitoring, agriculture), and more.

With the development of compact, lowcost, rugged
benchtop hyperspectral systems, the technology can be used in many environments and on
platforms ranging from microscopes to airplanes