Evidence map›Paper›PMID 22368511›Full record

ArticleSensors (Basel, Switzerland)2012

Computer reconstruction of plant growth and chlorophyll fluorescence emission in three spatial dimensions.

Chandra Bellasio, Julie Olejníčková, Radek Tesař, David Sebela, Ladislav Nedbal

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Chandra BellasioDepartment of Plant, Soil and Environmental Science, University of Firenze, Viale delle Idee, 30 50019-Sesto Fiorentino, Firenze, Italy. chandra.bellasio@plantsci.cam.ac.uk
Julie Olejníčková
Radek Tesař
David Sebela
Ladislav Nedbal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant leaves grow and change their orientation as well their emission of chlorophyll fluorescence in time. All these dynamic plant properties can be semi-automatically monitored by a 3D imaging system that generates plant models by the method of coded light illumination, fluorescence imaging and computer 3D reconstruction. Here, we describe the essentials of the method, as well as the system hardware. We show that the technique can reconstruct, with a high fidelity, the leaf size, the leaf angle and the plant height. The method fails with wilted plants when leaves overlap obscuring their true area. This effect, naturally, also interferes when the method is applied to measure plant growth under water stress. The method is, however, very potent in capturing the plant dynamics under mild stress and without stress. The 3D reconstruction is also highly effective in correcting geometrical factors that distort measurements of chlorophyll fluorescence emission of naturally positioned plant leaves.

Indexed as

CapsicumChlorophyllImaging, Three-DimensionalPhaseolusPlant LeavesReproducibility of ResultsSpectrometry, FluorescenceStress, PhysiologicalChlorophyll3D reconstructionchlorophyll fluorescence imagingcoded lightleaf angleleaf areaplant growth

Identifiers

PMID22368511
PMCPMC3279255

What OpenQuestion holds

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Registered trials

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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.