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Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
Fernando Perez-Sanz1, Pedro J Navarro2, Marcos Egea-Cortines1
1Genetics, ETSIA, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain.
Gigascience
|October 20, 2017
Summary
Phenomics, the study of phenotypes, is advancing with automatic image-based acquisition technologies. This review covers systems and algorithms for efficient image analysis in high-throughput phenotyping.
Area of Science:
- Phenomics and plant biology
- High-throughput biological data acquisition
Background:
- Phenomics is crucial for understanding biological systems.
- Automatic phenotype acquisition using imaging is rapidly advancing.
- High-throughput technologies present challenges in data handling.
Purpose of the Study:
- To review current systems for automatic image-based phenotyping.
- To analyze image processing challenges and algorithms in phenomics.
- To provide an overview of emerging technologies for data extraction from images.
Main Methods:
- Literature review of phenotyping systems.
- Analysis of image processing techniques and algorithms.
- Discussion of data acquisition and analysis in high-throughput phenomics.
Main Results:
- Overview of diverse automated image acquisition systems.
- In-depth analysis of image processing issues and solutions.
- Identification of key algorithms for automatic data extraction from images.
Conclusions:
- Automated phenotyping systems are critical for modern biology.
- Image processing is a key bottleneck and area for algorithmic development.
- Advances in this field facilitate high-throughput biological research.
