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rhizoTrak: A flexible open source Fiji plugin for user-friendly manual annotation of time-series images from minirhizotrons.
Plant Soil 444, 519-534 (2019)
Background and aims Minirhizotrons are commonly used to study root turnover which is essential for understanding ecosystem carbon and nutrient cycling. Yet, extracting data from minirhizotron images requires extensive annotation effort. Existing annotation tools often lack flexibility and provide only a subset of the required functionality. To facilitate efficient root annotation in minirhizotrons, we present the user-friendly open source tool rhizoTrak. Methods and results rhizoTrak builds on TrakEM2 and is publicly available as Fiji plugin. It uses treelines to represent branching structures in roots and assigns customizable status labels per root segment. rhizoTrak offers configuration options for visualization and various functions for root annotation mostly accessible via keyboard shortcuts. rhizoTrak allows time-series data import and particularly supports easy handling and annotation of time-series images. This is facilitated via explicit temporal links (connectors) between roots which are automatically generated when copying annotations from one image to the next. rhizoTrak includes automatic consistency checks and guided procedures for resolving inconsistencies. It facilitates easy data exchange with other software by supporting open data formats. Conclusions rhizoTrak covers the full range of functions required for user-friendly and efficient annotation of time-series images. Its flexibility and open source nature will foster efficient data acquisition procedures in root studies using minirhizotrons.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Minirhizotron Images ; Time-series ; Manual Annotation ; Open Source ; Free ; Platform-independent; Fine Roots; Biomass
Language
Publication Year
2019
HGF-reported in Year
2019
ISSN (print) / ISBN
0032-079X
e-ISSN
1573-5036
Journal
Plant and Soil
Quellenangaben
Volume: 444,
Issue: 1-2,
Pages: 519-534
Publisher
Springer
Publishing Place
Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands
Reviewing status
Peer reviewed
Institute(s)
Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-505500-001
WOS ID
WOS:000498997900035
Scopus ID
85073966341
Erfassungsdatum
2019-11-06