Microscopy & ImagingMicroscopy and imagingSupplemental record

Entomoscope: An Open-Source Photomicroscope for Biodiversity Discovery

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Matched by doi · retrieved 2026-07-21

Abstract

Understanding and combatting biodiversity loss are critical tasks facing our planet. They are made especially difficult because much of the earth’s biodiversity is concentrated in abundant and species-rich groups of invertebrates like insects. Traditionally, samples of insects have been analyzed manually by experts using morphology. Not only does this necessitate taxonomic expertise, but it is also error-prone, time-consuming, and often involves commercial microscopes that are too expensive for many countries in the Global South where most species are found. The alternative to expert sorting with morphology is the use of DNA barcoding. However, this requires a well-equipped laboratory and an entirely different skill set.We present an alternative solution: a low-cost, open-source photomicroscope for taking high-resolution, focus-stacked images that can be used for insect classification: the Entomoscope.We describe two different versions of the Entomoscope, a standalone version that can be operated without additional hardware and an even simpler Version, that requires a computer. We show that the optics are of sufficiently high quality to classify specimens with >95% accuracy into 15 different types of insects (mostly ’families’ according to the Linnean classification). The classifier can be successively extended or individually trained for specific classification tasks. Here, we provide building instructions, 3D files, and a list of commercially available parts so that everyone can build their own Entomoscope. Open-source DIY hardware like the Entomoscope facilitates affordable, cutting-edge biodiversity research by entomologists around the globe.

Bibliographic details

Published
2024-01-01
Journal/source
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/access.2024.3355272
Type
journal-article
Language
en
Volume / issue
12
Pages
11785-11794
ISSN
2169-3536

Access and metrics

Open access
Yes
OA status
gold
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
Version
publishedVersion
Cited by
20
References
37
Retracted
No

Authors and affiliations

  1. Lorenz WührlKarlsruhe Institute of Technology
  2. Luca RettenbergerKarlsruhe Institute of Technology
  3. Rudolf MeierMuseum für Naturkunde
  4. Emily HartopMuseum für Naturkunde
  5. Julien GrafMuseum für Naturkunde
  6. Christian PylatiukKarlsruhe Institute of Technology

Topics and keywords

Species Distribution and Climate ChangePlant and animal studiesInsect and Arachnid Ecology and BehaviorComputer scienceBiodiversityClassifier (UML)Open sourceBarcodeSortingArtificial intelligenceData scienceEcologySoftwareBiologyOperating system

Funding

  • Center for Integrative Biodiversity Discovery, Museum für Naturkunde, Berlin
  • Program Natural, Artificial and Cognitive Information Processing (NACIP) of the Helmholtz-Association