Evidence map›Paper›PMID 37847885›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Discrimination of Hover Fly Species and Sexes by Wing Interference Signals.

Meng Li, Anna Runemark, Julio Hernandez, Jadranka Rota, Rune Bygebjerg, Mikkel Brydegaard

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Emerging technologies in citizen science and potential for insect monitoring.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  6. Towards global insect biomonitoring with frugal methods.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  7. Monitoring insect numbers and biodiversity with a vertical-beam entomological radar.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  8. Article
  9. Article
  10. Discrimination of Hover Fly Species and Sexes by Wing Interference Signals.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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.

Meng LiDepartment of Physics, Lund University, Sölvegatan 14c, Lund, 22363, Sweden.ORCID 0000-0003-4931-5647
Anna RunemarkDepartment of Biology, Lund University, Sölvegatan 35, Lund, 22362, Sweden.ORCID 0000-0002-8976-5530
Julio HernandezNorsk Elektro Optikk, Østensjøveien 34, Oslo, 0667, Norway.
Jadranka RotaBiological Museum, Department of Biology, Lund University, Sölvegatan 37, Lund, 22362, Sweden.ORCID 0000-0003-0220-3920
Rune BygebjergBiological Museum, Department of Biology, Lund University, Sölvegatan 37, Lund, 22362, Sweden.
Mikkel BrydegaardDepartment of Physics, Lund University, Sölvegatan 14c, Lund, 22363, Sweden.ORCID 0000-0003-0586-664X

Funding

HORIZON EUROPE European Research Council 850463
6 · The paper itself

Abstract

Remote automated surveillance of insect abundance and diversity is poised to revolutionize insect decline studies. The study reveals spectral analysis of thin-film wing interference signals (WISs) can discriminate free-flying insects beyond what can be accomplished by machine vision. Detectable by photonic sensors, WISs are robust indicators enabling species and sex identification. The first quantitative survey of insect wing thickness and modulation through shortwave-infrared hyperspectral imaging of 600 wings from 30 hover fly species is presented. Fringy spectral reflectance of WIS can be explained by four optical parameters, including membrane thickness. Using a Naïve Bayes Classifier with five parameters that can be retrieved remotely, 91% is achieved accuracy in identification of species and sexes. WIS-based surveillance is therefore a potent tool for remote insect identification and surveillance.

Indexed as

InsectaSportsAnimalsBayes TheoremWings, Animalbiodiversityhover flyhyperspectralinsect wingwing interference signals (WISs)

Identifiers

PMID37847885
PMCPMC10700183

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.