Evidence map›Paper›PMID 30809923›Full record

ArticleThe Plant journal : for cell and molecular biology2019

MyROOT: a method and software for the semiautomatic measurement of primary root length in Arabidopsis seedlings.

Isabel Betegón-Putze, Alejandro González, Xavier Sevillano, David Blasco-Escámez, Ana I Caño-Delgado

Open access · hybridAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 40 citations in OpenAlex.

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  12. The platformPlant methods · 2020
    Article
  13. High-ThroughputFrontiers in plant science · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Isabel Betegón-PutzeDepartment of Molecular Genetics, Center for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain.
Alejandro GonzálezGTM- Grup de Recerca en Tecnologies Mèdia, La Salle, Universitat Ramon Llull, 08022, Barcelona, Spain.
Xavier SevillanoGTM- Grup de Recerca en Tecnologies Mèdia, La Salle, Universitat Ramon Llull, 08022, Barcelona, Spain.
David Blasco-EscámezDepartment of Molecular Genetics, Center for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain.
Ana I Caño-DelgadoDepartment of Molecular Genetics, Center for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain.
Center for Research in Agricultural Genomics · ESUniversitat Ramon Llull · ES

Funding

European Research Council ERC-2015-CoG - 683163
6 · The paper itself

Abstract

Root analysis is essential for both academic and agricultural research. Despite the great advances in root phenotyping and imaging, calculating root length is still performed manually and involves considerable amounts of labor and time. To overcome these limitations, we developed MyROOT, a software for the semiautomatic quantification of root growth of seedlings growing directly on agar plates. Our method automatically determines the scale from the image of the plate, and subsequently measures the root length of the individual plants. To this aim, MyROOT combines a bottom-up root tracking approach with a hypocotyl detection algorithm. At the same time as providing accurate root measurements, MyROOT also significantly minimizes the user intervention required during the process. Using Arabidopsis, we tested MyROOT with seedlings from different growth stages and experimental conditions. When comparing the data obtained from this software with that of manual root measurements, we found a high correlation between both methods (R

Indexed as

SoftwareAlgorithmsArabidopsisHypocotylPhenotypePlant RootsSeedlingsArabidopsis thalianahigh-throughput image analysisroot lengthroot phenotypingsoftwaretechnical advance

Identifiers

PMID30809923
PMCPMC6618301
OpenAlexW2917368183

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.