The versatile phenotyping system for laboratories – your entry to the phenotyping world.
The PhenoAIxpert product family combines powerful analytical software with a range of hardware options. Thereby it enables reproducible and standardizable results in plant research, breeding, product development, quality assessment, and beyond.
Features
Application examples
Imaging and Lighting
Phenotyping with RGB imaging
Hardware Options
600 mm x 600 mm footprint
1115 mm height
Weight: approx. 85 kg
Future features
We bought a LemnaTec LabScanalyzer (the predecessor of PhenoAIxpert) in July 2018. The instrument was delivered to us and installed remotely by a Lemnatec technician that instructed us about the use of the instrument. We were happy about the service: very good communication and excellent instrument set-up. The Lemnatec LabScanalyzer works nicely and is even more user-friendly than we expected. Almost no training of new users is needed. We hope to expand the uses of the instrument to obtain additional phenotyping options in the future, by interacting with LemnaTec.
Software Suite
The PhenoAIxpert is delivered with a comprehensive software suite. The software enables the users to provide sample information and control cameras and lights. After imaging all data are stored and accessible for image and data processing. LemnaControl is the interface with which users operate the system. With LemnaControl, users carry out all settings that are required for image recording with the system. In particular, his comprises settings for the camera(s) and lights included in the system. All settings can be combined and scheduled to configure recordings. The available functions are tailored to the corresponding hardware. Each hardware system delivered by LemnaTec comes with its own control software adapted for the functions of that system. The LemnaGrid app uses an intuitive graphical programming environment, which allows for easy integration of different image analysis algorithms. LemnaGrid phenotyping software offers high flexibility for user programming. The image processing pipeline extracts desired properties/features from the original image and stores results in a dedicated storage system. LemnaGrid can include functions of state-of-the-art machine learning tools, next to standard image analysis to detect and extract features of interest. Guided by the LemnaGrid graphical user interface, users can build their own analytical pipeline with pre-defined devices.
Analysis devices include:
- filters
- threshold functions
- image converters
- object detectors
- feature detectors
- color analysis tools
- region of interest function
- combinatory functions
- and many more
All devices – graphically represented by boxes – can be combined on a interface by aligning the boxes to pipelines. Along such workflows, each function can provide insights in the progress of the analysis by feeding out an intermediate image. Image processing pipelines can include branches and parallel paths that combine to a final result. For 3D data, the app Lemna3D is used for programming analytical pipelines. Similarly as in LemnaGrid, users can do graphical programming on an interface by combining devices from a library of functions.
LemnaExperiment serves to manage experiments and measurements, and to schedule and run analyses. Moreover, it enables viewing, visualizing, and exporting results. It provides capabilities to access and browse through recorded images and to display metadata for samples and measurements. As core function, LemnaExperiment selects recordings for analysis and assigns an image analysis pipeline –written in LemnaGrid or in Lemna3D – to a given set of recordings. After assignment, the analyses are run in the background by the Analysis Executor. Parameters of interest can be selected in LemnaExperiment so that they are displayed in the analysis output.
LemnaTec Product Matrix
LemnaTec offers imaging and image processing technologies for several applications that suit for low to high throughput in laboratory, greenhouse or outdoor environments. Technologies are adapted to various sample types and can be combined with automation. All imaging systems are combined with dedicated image processing software, including user-programmable functions and machine learning.