The LAB SCANALYZER LS30 is a medium to high throughput screening platform used to accurately monitor a wide range of samples including small plants, leaf disk assays, fungi, cultures and small organisms such as mosquito larvae or nematodes.

Cameras move over an array of 48 multi-well plates, assessing up to 4032 different samples in one run. To increase throughput, plates may be stacked and rotated by an optional automated stacker. Larger versions are also available to accommodate 72 or 84 multi-well plates at one time.

The enclosed environment of the LS30 guarantees consistent and reproducible imaging conditions, suitable for four camera types supplied by LemnaTec (VIS, NIR, IR and Fluorescence). Lighting options include backlight, direct or diffused top light and fluorescent imaging with blue light excitation.

Cameras can be easily repositioned to suit different plant containers and illumination conditions. Zoom lens systems allow imaging of fully grown Arabidopsis rosettes, complete multi-well plates or even single wells.

Technical Specifications

Number of sensors

Model 1: 2 maximum
Model 2: 4 maximum


RGB Visible, Infrared, Fluorescence, Near Infrared


Top, Back, Diffuse

Internal working space

Model 1: 118 cm x 56 cm
Model 2: 208 cm x 56 cm


Model 1: 279 cm x 110 cm x 209 cm
Model 2: 370 cm x 110 cm x 209 cm (WxDxH)

Power supply

Model 1: 110V AC 1 or 2 phase, 230V AC 1 phase,
400V AC 3 phase, 1800W

Model 2: 110V AC 1 or 2 phase, 230V AC 1 phase,
400V AC 3 phase, 2760W


Dedicated Windows PC plus database server


Process control, Image processing, Data analysis


Adaptors for multi-well plates, pots, trays
Robotic plate handler
Automated storage unit
Heat unit to mobilise organisms

Direct Measures
NIR reflectance
Surface heat emission
Indirect Measures
Water status
Fluo Biomarkers

unusual but maybe possible


Arabidopsis Phenotyping

When assessing Arabidopsis plants manually, the visual single point assessment is commonly used. Imaging technology provides automated, fast and reproducible assessment of Arabidopsis plant growth and identification of small but significant differences.

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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.

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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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  • Vello, Emilio; Tomita, Akiko; Diallo, Amadou Oury; Bureau, Thomas E. (2015)

    A Comprehensive Approach to Assess Arabidopsis Survival Phenotype in Water-Limited Condition Using a Non-invasive High-Throughput Phenomics Platform. In: Frontiers in Plant Science, DOI: 10.3389/fpls.2015.01101.


  • Dornbusch, T.; Michaud, O.; Xenarios, I.; Fankhauser, C. (2014)

    Differentially Phased Leaf Growth and Movements in Arabidopsis Depend on Coordinated Circadian and Light Regulation. In: The Plant Cell, S. 3911–3921. DOI: 10.1105/tpc.114.129031.

  • Saran, Raj K.; Ziegler, Melissa; Kudlie, Sara; Harrison, Danielle; Leva, David M.; Scherer, Clay; Coffelt, Mark A. (2014)

    Behavioral Effects and Tunneling Responses of Eastern Subterranean Termites (Isoptera: Rhinotermitidae) Exposed to Chlorantraniliprole-Treated Soils. In: Journal of Economic Entomology, S. 1878–1889. DOI: 10.1603/EC11393.


  • Petrov, Veselin; Schippers, Jos; Benina, Maria; Minkov, Ivan; Mueller-Roeber, Bernd; Gechev, Tsanko; others (2013)

    In search for new players of the oxidative stress network by phenotyping an Arabidopsis T-DNA mutant collection on reactive oxygen species-eliciting chemicals. In: Plant omics journal, S. 46–54.;dn=226803082169686;res=IELHSS


  • Prullage, Joseph B.; Tran, Hai V.; Timmons, Phil; Harriman, Jay; Chester, S. Theodore; Powell, Kerrie (2011)

    The combined mode of action of fipronil and amitraz on the motility of Rhipicephalus sanguineus. In: Veterinary parasitology, S. 302–310. DOI: 10.1016/j.vetpar.2011.03.041.