The LAB SCANALYZER HTS 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 samples that can contain 48, 72, or 84 multi-well plates (depending on cabinet dimensions), assessing large numbers of different samples in one run. Instead of plates, trays or pots can be used, and corresponding adaptors are available.

Request more information and quotation here.

Lab Scanalyzer HTS
Lab Scanalyzer HTS
Sample inlays for well plates
Sample inlays for well plates

The enclosed environment of the HTS 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. Different optical configurations are available depending on sample dimensions.

Technical Specifications

Number of sensors

4 maximum

Sensors

RGB Visible, Infrared, Fluorescence, Near Infrared

Illumination

Top, Back, Diffuse

Internal working space

Space for plates, trays or pots:

2100 mm x 560 mm (version with space for 84 standard multi-well plates)

1800 mm x 560 mm (version for 72 plates)

1200 mm x 560 mm (version for 48 plates)

Maximum sample height: 150 mm

Dimensions

WxDxH

3729 mm x 1154 mm x 2094 mm (version for 84 plates)

3449 mm x 1154 mm x 2094 mm (version for 72 plates)

2349 mm x 1154 mm x 2094 mm (version for 48 plates)

Power supply

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

Control

Dedicated Windows PC plus database server

Software

Process & experiment control, Image processing tools, Data analysis

Options

Adaptors & inlays for multi-well plates, pots, trays
Heat unit to mobilise organisms

RGBIRFLUNIR
Direct Measures
Size
Morphology
Colour
Fluorescence
NIR reflectance
Surface heat emission

unusual but maybe possible

Applications

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.

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

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

Duckweed Detection and Counting of Thalli

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

Show Application

References

2017

  • Lucia M. Acosta-Gamboa, Suxing Liu, Erin Langley, Zachary Campbell, Norma Castro-Guerrero, David Mendoza-Cozatl, Argelia Lorence (2017)

    Moderate to severe water limitation differentially affects the phenome and ionome of Arabidopsis. In: Functional Plant Biology, S. 94. DOI: 10.1071/FP16172. http://www.publish.csiro.au/fp/FP16172

  • Shao, Mon-Ray; Kumar Kenchanmane Raju, Sunil; Laurie, John D.; Sanchez, Robersy; Mackenzie, Sally A. (2017)

    Stress-responsive pathways and small RNA changes distinguish variable developmental phenotypes caused by MSH1 loss. In: BMC plant biology, S. 47. DOI: 10.1186/s12870-017-0996-4. http://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-017-0996-4

2016

  • Shao, Mon-Ray; Shedge, Vikas; Kundariya, Hardik; Lehle, Frederic R.; Mackenzie, Sally A.; Lehle, Fredric R. (2016)

    Ws-2 Introgression in a Proportion of Arabidopsis thaliana Col-0 Stock Seed Produces Specific Phenotypes and Highlights the Importance of Routine Genetic Verification. In: Plant Cell (The Plant Cell), S. tpc.00053.2016. DOI: 10.1105/tpc.16.00053. http://www.plantcell.org/content/early/2016/03/15/tpc.16.00053.full.pdf

2015

  • 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. http://journal.frontiersin.org/article/10.3389/fpls.2015.01101/full

2014

  • 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. http://www.plantcell.org/content/26/10/3911

  • 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. http://jee.oxfordjournals.org/content/107/5/1878

2013

  • 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. http://search.informit.com.au/documentSummary;dn=226803082169686;res=IELHSS

2011

  • 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. http://www.sciencedirect.com/science/article/pii/S0304401711002275