Evidence map›Paper›PMID 37754940›Full record

ArticleJournal of imaging2023

Hybrid Autofluorescence and Optoacoustic Microscopy for the Label-Free, Early and Rapid Detection of Pathogenic Infections in Vegetative Tissues.

George J Tserevelakis, Andreas Theocharis, Stavroula Spyropoulou, Emmanouil Trantas, Dimitrios Goumas, Filippos Ververidis, Giannis Zacharakis

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging, 2023. 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
0.4field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

George J TserevelakisFoundation for Research and Technology Hellas, Institute of Electronic Structure and Laser, N. Plastira 100, GR-70013 Heraklion, Crete, Greece.ORCID 0000-0002-9938-3472
Andreas TheocharisDepartment of Agriculture, School of Agricultural Sciences, Hellenic Mediterranean University, Estavromenos, GR-71410 Heraklion, Crete, Greece.
Stavroula SpyropoulouFoundation for Research and Technology Hellas, Institute of Electronic Structure and Laser, N. Plastira 100, GR-70013 Heraklion, Crete, Greece.
Emmanouil TrantasDepartment of Agriculture, School of Agricultural Sciences, Hellenic Mediterranean University, Estavromenos, GR-71410 Heraklion, Crete, Greece.ORCID 0000-0001-7536-101X
Dimitrios GoumasDepartment of Agriculture, School of Agricultural Sciences, Hellenic Mediterranean University, Estavromenos, GR-71410 Heraklion, Crete, Greece.
Filippos VerveridisDepartment of Agriculture, School of Agricultural Sciences, Hellenic Mediterranean University, Estavromenos, GR-71410 Heraklion, Crete, Greece.ORCID 0000-0002-3104-6103
Giannis ZacharakisFoundation for Research and Technology Hellas, Institute of Electronic Structure and Laser, N. Plastira 100, GR-70013 Heraklion, Crete, Greece.
Hellenic Mediterranean University · GRFoundation for Research and Technology Hellas · GR

Funding

H2020 FETOPEN project "Dynamic" EC-GA-863203H2020 Laserlab Europe EC-GA 871124"INNOVA-PROTECT" T1EDK-01878NSRF 2014-2020 "BIOIMAGING-GR" MIS 5002755
6 · The paper itself

Abstract

Agriculture plays a pivotal role in food security and food security is challenged by pests and pathogens. Due to these challenges, the yields and quality of agricultural production are reduced and, in response, restrictions in the trade of plant products are applied. Governments have collaborated to establish robust phytosanitary measures, promote disease surveillance, and invest in research and development to mitigate the impact on food security. Classic as well as modernized tools for disease diagnosis and pathogen surveillance do exist, but most of these are time-consuming, laborious, or are less sensitive. To that end, we propose the innovative application of a hybrid imaging approach through the combination of confocal fluorescence and optoacoustic imaging microscopy. This has allowed us to non-destructively detect the physiological changes that occur in plant tissues as a result of a pathogen-induced interaction well before visual symptoms occur. When broccoli leaves were artificially infected with

Indexed as

fluorescencemicroscopyoptoacousticpathogen detectionphotoacousticrapid disease diagnosisXanthomonas campestrisXylella fastidiosa

Identifiers

PMID37754940
PMCPMC10532063
OpenAlexW4386282733

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.