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LabScanalyzer Top and Side View2018-10-30T11:18:14+00:00

Lab Scanalyzer Top and Side View

The Lab Scanalyzer is available as top- and side-view version, too. This version is particularly dedicated for imaging potted plants up to approximately 400 mm height and 400 mm diameter. One top-down viewing camera and one horizontally viewing camera enable taking images of the samples from all sides.

Lab Scanalyzer top- and side-view version

Samples types
  • Plants in pots or small trays
  • Samples in multiwell plates or petri dishes, e.g. seeds, leaf disks
  • Beakers, e.g. for duckweed
  • Plant parts, e.g. leaves, fruits
Imaging Top view visible light camera OR Top- and side-view visible light cameras

8 Megapixel, 35 mm lens, 29°/21° view angle; other optics on request.

Example for field of view with 35 mm lens:

414 mm x 310 mm at 800 mm distance from lens

258 mm x 194 mm at 500 mm distance from lens

155 mm x 116 mm at 300 mm distance from lens

Illumination Top or bottom OR Top and side
Dimensions Benchtop version: 600 mm x 600 mm footprint; 1128,5 mm height

Standalone version: 600 mm x 600 mm footprint; 1750 mm height

Top- and side-view version: 2059 mm x 660 mm footprint, 1290 mm height

Internal space Benchtop version: approx. 410 mm x 480 mm sample area; 550 mm distance from camera to bottom; max. dimensions of samples depend on optics.

Standalone version: approx. 410 mm x 480 mm sample area; 1100 mm distance from camera to bottom; max. dimensions of samples depend on optics.

Top- and side-view version: approx. 450 mm x 450 mm; 1000 mm distance from top camera and 1200 mm distance from side camera; max. dimensions of samples depend on optics

Weight Benchtop version: 60 kg (approx)

Standalone version: 100 kg (approx)

Top- and side-view version: 190 kg (approx)

Control Integrated PC with touch panel (top view versions) OR dedicated PC for top- and side-view version
Software Process control, image acquisition, data export, data processing



Automated quantitative phenotyping of complete plants provides an almost unlimited number of morphological parameters that are easily correlated with biological effects over time. Similar approaches can be adopted for a wide range of other biological applications.

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Region-based feature extraction focuses on the local distribution of low level features such as colour and texture.

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Image workflows are used to monitor the growth of duckweed over time

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