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Plant phenotyping refers to the comprehensive assessment of observable traits and physical characteristics, encompassing morphology, physiology, and molecular attributes. Plant phenotyping aids to better understand how genetic factors interact with the environment to influence plant development, adaptability and performance of plant species and varieties. It involves the study of features such as plant height, leaf size, flowering time, stress responses and disease resistance.

Advanced technologies like remote sensing, molecular analysis and high-throughput imaging play a crucial role in automating phenotyping, enabling large-scale data collection. This data is invaluable for crop improvement, as it helps breeders and scientists identify desirable traits and develop more resilient, productive, and adaptable plant varieties. Phenotyping plays a pivotal role to address food security and agricultural sustainability challenges.

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The MIAtecs Plant Phenotyping Pipeline.

High-throughput Plant Phenotyping (HTPP) from plant scale to cell scale.

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Greenhouse HTPP

Images Acquisition

 Indoor HTPP 

    Microscopy HTPP

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Images input

Import your images in various formats (JPG, tiff, png, ...)

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Images pre-processing

Artifacts correction, Signal and Background corrections, Movements registration, Multiple position images stitching, ...

Plants detection and extraction

Each plant is detected, extracted and classified  using a custom-made processing pipeline that fits your datasets structure.

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Organs detection and extraction

For each plant, every organ can be detected, extracted and classified to suit your unique requirements.

Features Extraction and Analysis

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High-throughput Genetic Screening.

Your digital screen of thousands of genetically transformed plants.

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Transformation efficiency.

Signal intensity - per plant.

Signal intensity - per leaf.

Morphological analysis.

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Your plant phenotyping at early developemental stages.

Let's dive into the pivotal seedling growth phases, where critical morphological and developmental choices shape the future.

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Multiple positions and multiple signals imaging.

Analysis of each seedling in time.

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eGFP

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mRFP

Development of

specific algorithms.

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AVAILABLE TRAITS:

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