ArticlePlant methods2019
Root Hair Sizer: an algorithm for high throughput recovery of different root hair and root developmental parameters.
Article in Plant methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- RootHairML: A Simple Machine-Learning Tool for Quantifying Root Hairs.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Mechanical constraint causes lower turgor, thicker walls, and faster growth in Arabidopsis root hairs.Plant physiology · 2026Article
- RootHairAreaFinder: an image processing method for quantifying barley root growth and root hairs simultaneously in a flat rhizotron system.Plant methods · 2026Article
- pyRootHair: Machine learning accelerated software for high-throughput phenotyping of plant root hair traits.GigaScience · 2026Article
- DIRT/µ: automated extraction of root hair traits using combinatorial optimization.Journal of experimental botany · 2025Article
- Germination Behavior and Geographical Information System-Based Phenotyping of Root Hairs to Evaluate the Effects of Different Sources of Black Soldier Fly (Plants (Basel, Switzerland) · 2024Article
- Bioassays for the Effects of Strigolactones and Other Small Molecules on Root and Root Hair Development.Methods in molecular biology (Clifton, N.J.) · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe root is an important organ for water and nutrient uptake, and soil anchorage. It is equipped with root hairs (RHs) which are elongated structures increasing the exchange surface with the soil. RHs are also studied as a model for plant cellular development, as they represent a single cell with specific and highly regulated polarized elongation. For these reasons, it is useful to be able to accurately quantify RH length employing standardized procedures. Methods commonly employed rely on manual steps and are therefore time consuming and prone to errors, restricting analysis to a short segment of the root tip. Few partially automated methods have been reported to increase measurement efficiency. However, none of the reported methods allow an accurate and standardized definition of the position along the root for RH length measurement, making data comparison difficult.
resultsWe developed an image analysis algorithm that semi-automatically detects RHs and measures their length along the whole differentiation zone of roots. This method, implemented as a simple automated script in ImageJ/
conclusionsImage analysis with Root Hair Sizer and subsequent sigmoidal modelling of RH length data provide a simple and efficient way to characterize RH growth in different conditions, equally suitable to small and large scale phenotyping experiments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.