Evidence map›Paper›PMID 42745405›Full record

ArticleThe Plant journal : for cell and molecular biology2026

Dim green light enables day-and-night monitoring of leaf movements.

Eva Herrero, Alison R Gill, Samalka Wijeweera, Daniel N Ginzburg, John D Stamford, Andreas Antoniades, Jennifer R Bromley, Jenny C Mortimer, Matthew Gilliham, A Harvey Millar and 1 more

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Eva HerreroAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0001-9881-3330
Alison R GillAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0003-4366-6710
Samalka WijeweeraAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0002-6072-4233
Daniel N GinzburgDepartment of Plant Sciences, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0001-5524-6153
John D StamfordAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0002-6063-094X
Andreas AntoniadesAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0009-0005-4631-6857
Jennifer R BromleyAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0002-2333-1238
Jenny C MortimerAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0001-6624-636X
Matthew GillihamAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0003-0666-3078
A Harvey MillarAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0001-9679-1473
Alex A R WebbAustralian Research Council Centre of Excellence in Plants for Space, Australia.ORCID https://orcid.org/0000-0003-0261-4375

Funding

Australian Research Council Centre of Excellence in Plants CE230100015Australian Space Agency 10089325United Kingdom Space Agency International Bilateral Fund
6 · The paper itself

Abstract

Understanding plant growth, movement and development in the aerial plant body requires imaging across day-and-night cycles to quantify temporal dynamics and rhythmicity. This requires imaging in light during the day and in darkness at night without perturbing plant physiology. Nighttime imaging has typically depended on infrared (IR) illumination, producing monochrome datasets that require specialised hardware and separate analysis pipelines when combined with daytime RGB imaging. Here, we evaluated very low-intensity green (dimG) illumination from standard LEDs as a practical alternative for colour-consistent nighttime imaging and assessed its physiological impact in Arabidopsis thaliana and Lactuca sativa (lettuce). We show that high-resolution colour images can be obtained under dimG using low-cost cameras, with sufficient consistency between full-spectrum and dimG images to allow direct comparison and unified image analysis. We show that very low-fluence green light (<0.5 mmol m

Indexed as

ArabidopsisLactucaPlant LeavesCircadian RhythmDarknessGreen LightMovementPhotoperiodArabidopsisCircadianimagingleaf movementlettuce

Identifiers

PMID42745405
PMCPMC13578868

What OpenQuestion holds

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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.