Evidence map›Paper›PMID 35941942›Full record

ArticleFrontiers in plant science2022

Kinetically Consistent Data Assimilation for Plant PET Sparse Time Activity Curve Signals.

Nicola D'Ascenzo, Qingguo Xie, Emanuele Antonecchia, Mariachiara Ciardiello, Giancarlo Pagnani, Michele Pisante

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. PHYTO-PET - Imaging plant physiology on a long-axial field-of-view PET scanner.European journal of nuclear medicine and molecular imaging · 2026
    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

6 authors at 3 institutions in 2 countries.

Nicola D'AscenzoSchool of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Qingguo XieSchool of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Emanuele AntonecchiaSchool of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Mariachiara CiardielloDepartment of Medical Physics and Engineering, Istituto Neurologico Mediterraneo, Istituto di Ricovero e Cura a Carattere Scientifico, Pozzilli, Italy.
Giancarlo PagnaniFaculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.
Michele PisanteFaculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.
Huazhong University of Science and Technology · CNIstituto Neurologico Mediterraneo · ITUniversity of Teramo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time activity curve (TAC) signal processing in plant positron emission tomography (PET) is a frontier nuclear science technique to bring out the quantitative fluid dynamic (FD) flow parameters of the plant vascular system and generate knowledge on crops and their sustainable management, facing the accelerating global climate change. The sparse space-time sampling of the TAC signal impairs the extraction of the FD variables, which can be determined only as averaged values with existing techniques. A data-driven approach based on a reliable FD model has never been formulated. A novel sparse data assimilation digital signal processing method is proposed, with the unique capability of a direct computation of the dynamic evolution of noise correlations between estimated and measured variables, by taking into explicit account the numerical diffusion due to the sparse sampling. The sequential time-stepping procedure estimates the spatial profile of the velocity, the diffusion coefficient and the compartmental exchange rates along the plant stem from the TAC signals. To illustrate the performance of the method, we report an example of the measurement of transport mechanisms in zucchini sprouts.

Indexed as

data assimilation algorithmsdata-driven digital signal processing for plant imagingdynamic plant positron emission tomographyfunctional plant imagingkinetic modelingplant physiologyportable imaging device

Identifiers

PMID35941942
PMCPMC9356293
OpenAlexW4286586506

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.