HTPheno

HTPheno performs quantitative analysis of color images from top and side views to extract plant phenotypic parameters (height, width, projected shoot area) for high-throughput, non-destructive greenhouse plant phenotyping.

Key Features:

• Dual-view image analysis: Processes color images captured from top view and side view to provide complementary morphological information.
• Phenotypic parameter extraction: Calculates plant height, plant width, and projected shoot area from image data.
• Time-series screening: Extracts phenotypic measurements across a screening period for continuous, non-destructive monitoring of plant growth.
• Image analysis algorithms: Applies image analysis algorithms to segment and quantify plant traits from color images.
• ImageJ implementation: Implemented for use within the ImageJ environment.
• Demonstrated use case: Applied to analyze two barley cultivars in high-throughput experiments.

Scientific Applications:

• High-throughput phenotyping: Supports automated greenhouse screening workflows for large-scale plant trait measurement.
• Plant fitness assessment: Enables determination of plant fitness through quantitative morphological metrics over time.
• Crop improvement and agricultural research: Facilitates comparative analyses and growth monitoring in studies aimed at crop performance and breeding.
• Genotype comparison and time-course studies: Used to compare cultivars (e.g., barley) and to obtain detailed growth data across experiments.

Methodology:

Analyzes color top-view and side-view images using image analysis algorithms to segment plants and compute height, width, and projected shoot area across a screening period.