Entomoscope: An Open-Source Photomicroscope for Biodiversity Discovery
Supplemental record retained to make the downloaded paper corpus fully navigable.
- Year
- —
- Skill
- medium
- Docs
- moderate
- Rubric
- 3.2 / 5
Implementation assessment
Scoring by criterion
Scores describe accessibility and implementation characteristics reported in the reviewed source. They are not a measure of scientific quality.
Resolution
No clear feature-size or precision evidence found.
Scalability/Throughput
Moderate scalability via modularity, batching, or partial automation.
Build and Part Sourcing Complexity
Mostly off-the-shelf or kit-based components.
Skill Complexity
Build/operation described as low-skill or basic assembly.
Equipment/Cosumable/Facility Requirement Accessibility
Equipment requirements not explicit; assigned moderate default.
Application Level
Application scope appears narrow or proof-of-concept.
Accessibility to documentation
Some open documentation or files are available.
Validation/Troubleshooting Complexity
Validation includes standards, benchmarking, replicates, or multi-condition tests.
Speed/Cycle Time
Speed evidence suggests rapid, real-time, or automated operation.
Build Time
Build time not reported; assigned neutral score.
Linked tools
Record metadata
Publication data
Crossref and OpenAlex
Publication record
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
Access and metrics
Topics and keywords
Funding
- Center for Integrative Biodiversity Discovery, Museum für Naturkunde, Berlin
- Program Natural, Artificial and Cognitive Information Processing (NACIP) of the Helmholtz-Association
Perspective and practical signals
Why it matters
Supplemental record retained to make the downloaded paper corpus fully navigable.
Limitations
Metadata is limited to the download manifest and title-derived mapping.