PhenoImage

PhenoImage processes high-throughput plant images for phenotyping of species such as wheat, rice, and sorghum using RGB and fluorescence imaging.

Key Features:

• High-throughput image processing: Processes large collections of images generated by HTP platforms for scalable analysis.
• Image modalities: Supports RGB and fluorescence shoot images.
• Species applicability: Applied to sorghum and wheat and intended for use with wheat and rice datasets.
• Computational scalability: Executes on personal computers and high-performance computing clusters to accommodate large-scale phenotypic data processing.
• Analysis functions and filtering: Provides a comprehensive suite of functions and filtering parameters for image analysis.
• Extensibility: Customizable and extensible to meet specific research requirements.
• Platform compatibility: Validated with data from the LemnaTec Imaging system.

Scientific Applications:

• High-throughput phenotyping (HTP): Processing and analysis of imaging datasets from HTP platforms for plant trait assessment.
• Crop improvement and breeding: Enables automated and scalable phenotyping workflows relevant to crop improvement programs integrating high-throughput genotyping and molecular breeding approaches.
• Cross-species imaging analysis: Comparative analysis of images from species with differing physical attributes, exemplified by sorghum and wheat.

Methodology:

Tested using the LemnaTec Imaging system to process RGB and fluorescence shoot images of sorghum and wheat.