HyLength
HyLength measures fungal hyphae and plant root lengths from digital images to quantify plant–fungus interactions.
Key Features:
- Semi-Automated Analysis: HyLength implements a semi-automated digital image analysis pipeline to automate measurement tasks that are traditionally manual.
- Versatility Across Systems: The method is validated for use in both in vivo and in vitro experimental systems.
- Time Efficiency: Automation provides reported time savings of up to 20.5 hours per experimental unit.
- Accuracy Considerations: Measurements are generally reliable but show systematic underestimation of Medicago sativa roots by about 12 cm/m and a similar margin for Rhizophagus irregularis hyphae.
- Performance with Dense Mycelia: HyLength performs particularly well on dense fungal mycelia and dense hyphal networks.
- Whole-Unit Measurement: The tool measures lengths over entire experimental units rather than requiring sub-area selection.
- Benchmarking: HyLength was benchmarked against the AnaMorf plugin of ImageJ/Fiji and demonstrated superior handling of dense fungal networks.
- Error Reduction: By avoiding sub-area selection, the approach reduces user-induced sampling errors.
Scientific Applications:
- Phenotyping: Facilitates quantitative phenotypic assessment of root and hyphal length in studies of plant–fungus interactions.
- High-throughput Analysis: Supports higher sample throughput by automating measurements and reducing sub-area selection errors.
Methodology:
HyLength employs advanced digital image analysis techniques and was benchmarked against the AnaMorf plugin of ImageJ/Fiji, demonstrating superior performance on dense fungal networks and whole experimental-unit measurements.
Topics
Details
- Tool Type:
- library
- Added:
- 1/18/2021
- Last Updated:
- 2/1/2021
Operations
Publications
Cardini A, Pellegrino E, Del Dottore E, Gamper HA, Mazzolai B, Ercoli L. HyLength: a semi-automated digital image analysis tool for measuring the length of roots and fungal hyphae of dense mycelia. Mycorrhiza. 2020;30(2-3):229-242. doi:10.1007/s00572-020-00956-w. PMID:32300867.
PMID: 32300867