Evidence map›Paper›PMID 32637783›Full record

ArticleACS omega2020

Dynamic Contrast for Plant Phenotyping.

Zsolt Kelemen, Ruikang Zhang, Lionel Gissot, Raja Chouket, Yannick Bellec, Vincent Croquette, Ludovic Jullien, Jean-Denis Faure, Thomas Le Saux

Erratum issuedAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zsolt KelemenUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin, F-78000 Versailles, France.
Ruikang ZhangPASTEUR, Département de chimie, École normale supérieure, PSL University, SorbonneUniversité, CNRS, 24, rue Lhomond, 75005 Paris, France.
Lionel GissotUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin, F-78000 Versailles, France.
Raja ChouketPASTEUR, Département de chimie, École normale supérieure, PSL University, SorbonneUniversité, CNRS, 24, rue Lhomond, 75005 Paris, France.
Yannick BellecUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin, F-78000 Versailles, France.
Vincent CroquetteLaboratoire de Physique Statistique, École normale supérieure, PSL Research University, Université de Paris, Sorbonne Université, CNRS, 75005 Paris, France.
Ludovic JullienPASTEUR, Département de chimie, École normale supérieure, PSL University, SorbonneUniversité, CNRS, 24, rue Lhomond, 75005 Paris, France.
Jean-Denis FaureUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin, F-78000 Versailles, France.
Thomas Le SauxPASTEUR, Département de chimie, École normale supérieure, PSL University, SorbonneUniversité, CNRS, 24, rue Lhomond, 75005 Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasiveness, minimal handling, and immediate response are favorable features of fluorescence readout for high-throughput phenotyping of labeled plants.Yet, remote fluorescence imaging may suffer from an autofluorescent background and artificial or natural ambient light. In this work, the latter limitations are overcome by adopting reversibly photoswitchable fluorescent proteins (RSFPs) as labels and Speed OPIOM (out-of-phase imaging after optical modulation), a fluorescence imaging protocol exploiting dynamic contrast. Speed OPIOM can efficiently distinguish the RSFP signal from autofluorescence and other spectrally interfering fluorescent reporters like GFP. It can quantitatively assess gene expressions, even when they are weak. It is as quantitative, sensitive, and robust in dark and bright light conditions. Eventually, it can be used to nondestructively record abiotic stress responses like water or iron limitations in real time at the level of individual plants and even of specific organs. Such Speed OPIOM validation could find numerous applications to identify plant lines in selection programs, design plants as environmental sensors, or ecologically monitor transgenic plants in the environment.

Identifiers

PMID32637783
PMCPMC7331089

What OpenQuestion holds

Textmetadata
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.