The LAB SCANALYZER LS10 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. A second sensor can be fitted if required.

Samples are loaded manually in MT plates, petri-dishes, pots or trays. A range of sensors and illumination options are available to suit different phenotyping applications.

Measured parameters include dimensions, morphology, and colour information. The LAB SCANALYZER LS10 is applicable in growth studies and for testing physiological responses to stress and environmental factors.

Technical Specifications

Imaging

Top (top and side version also available)

Illumination

Top (top and side version also available)

Sensors
  • RGB visual
  • Fluorescence
Field of View

53 cm x 38 cm max, 9.5 cm x 7.5 cm min (RGB)

Samples
  • Pots
  • Trays
  • Multiwell plates
  • Beakers
Dimensions

141 cm high, 74 cm wide, 58 cm deep

Weight

205 kg (approx)

Power Supply

110V/230V AC 50/60Hz single phase, 660W

Control

Dedicated PC

Software

Process control, Image processing, Data analysis

Options
  • Bottom illumination
  • Automated door
  • Inlays
  • Barcode reader
RGBFLU
Direct Measures
Size
Morphology
Colour
Fluorescence
Indirect Measures
Growth
Biomass
Stress
Disease
Pest
Chlorophyll
Pigments
Fluo Biomarkers
Movement
Feeding

unusual but maybe possible

Applications

Colour classification of Duckweed

Image analysis systems are far superior to the human eye for quantitative classification of colours. The colour information of every pixel is interpreted as ecotoxicologically relevant information. We discuss four different ways to classify and quantify the colour of duckweed.

Show Application

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.

Show Application

Partitioning turf images

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

Show Application

Duckweed Detection and Counting of Thalli

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

Show Application

References

2015

  • Meepagala, Kumudinim.; Johnson, Robertd.; Techen, Natascha; Wedge, Davide.; Duke, Stepheno. (2015)

    Phomalactone from a Phytopathogenic Fungus Infecting ZINNIA elegans (ASTERACEAE) Leaves. In: J Chem Ecol (Journal of Chemical Ecology), S. 1–11. DOI: 10.1007/s10886-015-0602-x. http://link.springer.com/article/10.1007/s10886-015-0602-x

  • Picado, Ana; Paixão, Susanam.; Moita, Liliana; Silva, Luis; Diniz, Mários.; Lourenço, Joana; Peres, Isabel; Castro, Luisa; Correia, Josébrito; Pereira, Joana; Ferreira, Isabel; Matos, Antóniopedroalves; Barquinha, Pedro; Mendonca, Elsa (2015)

    A multi-integrated approach on toxicity effects of engineered TiO2 nanoparticles. In: Front. Environ. Sci. Eng. (Frontiers of Environmental Science & Engineering), S. 1–11. DOI: 10.1007/s11783-015-0775-0. http://link.springer.com/10.1007/s11783-015-0775-0

  • Stolte, S.; Bui, H. T. T.; Steudte, S.; Korinth, V.; Arning, J.; Białk-Bielińska, A.; Bottin-Weber, U.; Cokoja, M.; Hahlbrock, A.; Fetz, V.; Stauber, R.; Jastorff, B.; Hartmann, C.; Fischer, R. W.; Kühn, F. E. (2015)

    Preliminary toxicity and ecotoxicity assessment of methyltrioxorhenium and its derivatives. In: Green Chem, S. 1136–1144. DOI: 10.1039/C4GC01919A. http://pubs.rsc.org/en/Content/ArticleLanding/2015/GC/C4GC01919A#!divAbstract