Evidence map›Paper›PMID 25694791›Full record

ArticlePlant methods2015

Multiscale imaging of plants: current approaches and challenges.

David Rousseau, Yann Chéné, Etienne Belin, Georges Semaan, Ghassen Trigui, Karima Boudehri, Florence Franconi, François Chapeau-Blondeau

Abstract read
In one paragraph

Article in Plant methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

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  17. Review of quantitative multiscale imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2018
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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

8 authors.

David RousseauUniversité de Lyon, Laboratoire CREATIS, CNRS, UMR5220, INSERM, U1044, Université Lyon 1, INSA-Lyon, Villeurbanne France.
Yann ChénéLaboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, Angers, 49000 France.
Etienne BelinLaboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, Angers, 49000 France.
Georges SemaanLaboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, Angers, 49000 France.
Ghassen TriguiGEVES, Station Nationale d'Essais de Semences (SNES), rue Georges Morel, Beaucouzé, 49071 France.
Karima BoudehriGEVES, Station Nationale d'Essais de Semences (SNES), rue Georges Morel, Beaucouzé, 49071 France.
Florence FranconiLa Plateforme d'Ingénierie et Analyses Moléculaires (PIAM), Université d'Angers, Angers, 49000 France.
François Chapeau-BlondeauLaboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, Angers, 49000 France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We review a set of recent multiscale imaging techniques, producing high-resolution images of interest for plant sciences. These techniques are promising because they match the multiscale structure of plants. However, the use of such high-resolution images is challenging in the perspective of their application to high-throughput phenotyping on large populations of plants, because of the memory cost for their data storage and the computational cost for their processing to extract information. We discuss how this renews the interest for multiscale image processing tools such as wavelets, fractals and recent variants to analyse such high-resolution images.

Indexed as

FractalImageJ pluginsMultiscale filteringMutiscale imagingWavelets

Identifiers

PMID25694791
PMCPMC4331374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.