Evidence map›Paper›PMID 38698422›Full record

ArticlePlant methods2024

Colour-analyzer: a new dual colour model-based imaging tool to quantify plant disease.

Mackenzie Eli William Loranger, Winfield Yim, Vittorio Accomazzi, Nadia Morales-Lizcano, Wolfgang Moeder, Keiko Yoshioka

Abstract read
In one paragraph

Article in Plant methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

Mackenzie Eli William Loranger *Cell and Systems Biology, University of Toronto, 25 Willcocks Street, Toronto, ON, M5S3B2, Canada.ORCID http://orcid.org/0009-0000-2647-7534
Winfield Yim *Cell and Systems Biology, University of Toronto, 25 Willcocks Street, Toronto, ON, M5S3B2, Canada.
Vittorio AccomazziInternational Medical Solutions, 2425 Matheson Blvd E. Suite 800, Mississauga, ON, L4W 5K4, Canada.
Nadia Morales-LizcanoCell and Systems Biology, University of Toronto, 25 Willcocks Street, Toronto, ON, M5S3B2, Canada.
Wolfgang MoederCell and Systems Biology, University of Toronto, 25 Willcocks Street, Toronto, ON, M5S3B2, Canada.ORCID http://orcid.org/0000-0003-3889-6183
Keiko YoshiokaCell and Systems Biology, University of Toronto, 25 Willcocks Street, Toronto, ON, M5S3B2, Canada. keiko.yoshioka@utoronto.ca.ORCID http://orcid.org/0000-0002-3797-4277

Funding

NSERC Strategic Partnership Grant NSERC STPGP 521502
6 · The paper itself

Abstract

backgroundDespite major efforts over the last decades, the rising demands of the growing global population makes it of paramount importance to increase crop yields and reduce losses caused by plant pathogens. One way to tackle this is to screen novel resistant genotypes and immunity-inducing agents, which must be conducted in a high-throughput manner.

resultsColour-analyzer is a free web-based tool that can be used to rapidly measure the formation of lesions on leaves. Pixel colour values are often used to distinguish infected from healthy tissues. Some programs employ colour models, such as RGB, HSV or L*a*b*. Colour-analyzer uses two colour models, utilizing both HSV (Hue, Saturation, Value) and L*a*b* values. We found that the a* b* values of the L*a*b* colour model provided the clearest distinction between infected and healthy tissue, while the H and S channels were best to distinguish the leaf area from the background.

conclusionBy combining the a* and b* channels to determine the lesion area, while using the H and S channels to determine the leaf area, Colour-analyzer provides highly accurate information on the size of the lesion as well as the percentage of infected tissue in a high throughput manner and can accelerate the plant immunity research field.

Indexed as

Botrytis cinereaDisease evaluationDisease symptom measurementImage analysisLesion measurementTomato

Identifiers

PMID38698422
PMCPMC11067089

What OpenQuestion holds

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LicenceCC BY
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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.