Evidence map›Paper›PMID 30765723›Full record

ArticleScientific reports2019

Taxonomy through the lens of neutral helium microscopy.

Thomas A Myles, Sabrina D Eder, Matthew G Barr, Adam Fahy, Joel Martens, Paul C Dastoor

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
1.4field-weighted citation impact, top 13% 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, 17 citations in OpenAlex.

  1. A review of microscopic cell imaging and neural network recognition for synergistic cyanobacteria identification and enumeration.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2022
    Review
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 2 institutions in 2 countries.

Thomas A MylesCentre for Organic Electronics, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
Sabrina D EderCentre for Organic Electronics, University of Newcastle, Callaghan, New South Wales, 2308, Australia. sabrina.eder@uib.no.
Matthew G BarrCentre for Organic Electronics, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
Adam FahyCentre for Organic Electronics, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
Joel MartensCentre for Organic Electronics, University of Newcastle, Callaghan, New South Wales, 2308, Australia.
Paul C DastoorCentre for Organic Electronics, University of Newcastle, Callaghan, New South Wales, 2308, Australia. paul.dastoor@newcastle.edu.au.ORCID 0000-0002-6573-7148
University of Newcastle Australia · AUUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of taxonomy is critically important for the identification, conservation, and ecology of biological species. Modern taxonomists increasingly need to employ advanced imaging techniques to classify organisms according to their observed morphological features. Moreover, the generation of three-dimensional datasets is of growing interest; moving beyond qualitative analysis to true quantitative classification. Unfortunately, biological samples are highly vulnerable to degradation under the energetic probes often used to generate these datasets. Neutral atom beam microscopes avoid such damage due to the gentle nature of their low energy probe, but to date have not been capable of producing three-dimensional data. Here we demonstrate a means to recover the height information for samples imaged in the scanning helium microscope (SHeM) via the process of stereophotogrammetry. The extended capabilities, namely sparse three-dimensional reconstructions of features, were showcased via taxonomic studies of both flora (Arabidopsis thaliana) and fauna (Heterodontus portusjacksoni). In concert with the delicate nature of neutral helium atom beam microscopy, the stereophotogrammetry technique provides the means to derive comprehensive taxonomical data without the risk of sample degradation due to the imaging process.

Indexed as

AnimalsArabidopsisFemaleHeliumImage Processing, Computer-AssistedMicroscopy, Electron, ScanningSharksHelium

Identifiers

PMID30765723
PMCPMC6375913
OpenAlexW2914617203

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.