Evidence map›Paper›PMID 34820196›Full record

ArticlePeerJ2021

A workflow for low-cost automated image analysis of myxomycete spore numbers, size and shape.

Jan Woyzichovski, Oleg Shchepin, Nikki Heherson Dagamac, Martin Schnittler

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Automatic classification of fungal-fungal interactions using deep leaning models.Computational and structural biotechnology journal · 2024
    Article
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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

4 authors at 2 institutions in 3 countries.

Jan WoyzichovskiInstitute of Botany and Landscape Ecology, Greifswald University, Greifswald, Mecklenburg-Western Pomerania, Germany.
Oleg ShchepinInstitute of Botany and Landscape Ecology, Greifswald University, Greifswald, Mecklenburg-Western Pomerania, Germany.
Nikki Heherson DagamacInstitute of Botany and Landscape Ecology, Greifswald University, Greifswald, Mecklenburg-Western Pomerania, Germany.
Martin SchnittlerInstitute of Botany and Landscape Ecology, Greifswald University, Greifswald, Mecklenburg-Western Pomerania, Germany.
Universität Greifswald · DEKomarov Botanical Institute of the Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring spore size is a standard method for the description of fungal taxa, but in manual microscopic analyses the number of spores that can be measured and information on their morphological traits are typically limited. To overcome this weakness we present a method to analyze the size and shape of large numbers of spherical bodies, such as spores or pollen, by using inexpensive equipment. A spore suspension mounted on a slide is treated with a low-cost, high-vibration device to distribute spores uniformly in a single layer without overlap. Subsequently, 10,000 to 50,000 objects per slide are measured by automated image analysis. The workflow involves (1) slide preparation, (2) automated image acquisition by light microscopy, (3) filtering to separate high-density clusters, (4) image segmentation by applying a machine learning software, Waikato Environment for Knowledge Analysis (WEKA), and (5) statistical evaluation of the results. The technique produced consistent results and compared favorably with manual measurements in terms of precision. Moreover, measuring spore size distribution yields information not obtained by manual microscopic analyses, as shown for the myxomycete

Indexed as

Computer visionParticle analysisPhysarum albescensSize distributionSpore diameterSpore shape

Identifiers

PMID34820196
PMCPMC8605758
OpenAlexW3212847973

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.