The Lab Scanalyzer is a versatile imaging cabinet designed for low-cost phenotyping of plants and small organisms. In standard configuration, one RGB sensor is mounted in the top of the cabinet together with down-light illumination. Optional, bottom illumination is available.

The cabinet is available as standalone version or as benchtop version.

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Samples are loaded manually, e.g. in beakers, MT plates, petri-dishes, pots or small trays.

Measured parameters include dimensions, morphology, and colour information. The Lab Scanalyzer is applicable in phenotypic tests, such as growth studies, for testing phenotypic responses to stress and environmental factors, germination assays, or for ecotoxicological tests.

Technical Specifications

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

Top view visible light camera


Top or bottom


Benchtop version: 600 mm x 600 mm footprint; 1128,5 mm height

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


Benchtop version: 60 kg (approx)

Standalone version: 100 kg (approx)


Integrated PC with touch panel


Process control, image acquisition, data export, data processing

Direct Measures

unusual but maybe possible


Morphological parameters of Arabidopsis

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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Partitioning turf images

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

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Duckweed Detection and Counting of Thalli

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

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