Ira A. Herniter, Email: ira.herniter@rutgers.edu. DATA AVAILABILITY STATEMENT The MuLES and imgSplit scripts are open source and freely available on GitHub ( https://github.com/0cb/mules ), along with a detailed introduction (“Introduction to MuLES”) and sample leaf images from each species tested. Video demonstrations of the MuLES macro script (Video 1 ) and imgSplit macro script (Video S1 ) are included with the article and are also available on YouTube (MuLES: https://www.youtube.com/watch?v=vtj93rbDO28 ; im
Open resource ↗0cb/mules · lines:143-204Unverified paper record
Multiple Leaf Sample Extraction System (MuLES): A tool to improve automated morphometric leaf studies.
Applications in plant sciences · 21 Mar 2023 · 10.1002/aps3.11513
Abstract
Premise The measurement of leaf morphometric parameters from digital images can be time-consuming or restrictive when using digital image analysis softwares. The Multiple Leaf Sample Extraction System (MuLES) is a new tool that enables high-throughput leaf shape analysis with minimal user input or prerequisites, such as coding knowledge or image modification. Methods and results MuLES uses contrasting pixel color values to distinguish between leaf objects and their background area, eliminating the need for color threshold-based methods or color correction cards typically required in other software methods. The leaf morphometric parameters measured by this software, especially leaf aspect ratio, were able to distinguish between large populations of different accessions for the same species in a high-throughput manner. Conclusions MuLES provides a simple method for the rapid measurement of leaf morphometric parameters in large plant populations from digital images and demonstrates the ability of leaf aspect ratio to distinguish between closely related plant types.
Plant phenotyping relevance
葉のデジタル画像から形態形質を自動・高スループットに抽出するソフトウェア手法が研究の中心であり、植物フェノタイピング手法に該当する。
abstractThe Multiple Leaf Sample Extraction System (MuLES) is a new tool that enables high-throughput leaf shape analysis with minimal user input or prerequisites, such as coding knowledge or image modification.
abstractMuLES provides a simple method for the rapid measurement of leaf morphometric parameters in large plant populations from digital images
Code and data availability
The paper's authors publicly release the MuLES and imgSplit macro scripts (the analysis code used for the leaf phenotyping measurements) on GitHub, along with sample leaf images and video walkthroughs on YouTube.
ailable on GitHub ( https://github.com/0cb/mules ), along with a detailed introduction (“Introduction to MuLES”) and sample leaf images from each species tested. Video demonstrations of the MuLES macro script (Video 1 ) and imgSplit macro script (Video S1 ) are included with the article and are also available on YouTube (MuLES: https://www.youtube.com/watch?v=vtj93rbDO28 ; imgSplit: https://www.youtube.com/watch?v=9HVsNvAWPjE ). REFERENCES Biot, E. , Cortizo M., Burguet J., Kiss A., Oughou M., Maugarny‐Calès A., Gonçalves B., et al. 2016. Multiscale quantification of morphodynamics: MorphoLeaf software for 2D shape analysis. Development 143: 3417–3428. Bonhomme, V. , Picq S., Gaucherel C., a
Open resource ↗lines:143-204g with a detailed introduction (“Introduction to MuLES”) and sample leaf images from each species tested. Video demonstrations of the MuLES macro script (Video 1 ) and imgSplit macro script (Video S1 ) are included with the article and are also available on YouTube (MuLES: https://www.youtube.com/watch?v=vtj93rbDO28 ; imgSplit: https://www.youtube.com/watch?v=9HVsNvAWPjE ). REFERENCES Biot, E. , Cortizo M., Burguet J., Kiss A., Oughou M., Maugarny‐Calès A., Gonçalves B., et al. 2016. Multiscale quantification of morphodynamics: MorphoLeaf software for 2D shape analysis. Development 143: 3417–3428. Bonhomme, V. , Picq S., Gaucherel C., and Claude J.. 2014. Momocs: Outline analysis using R. Jo
Open resource ↗lines:143-204This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.