Simplifying the OpenFlexure microscope software with the web of things
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
Mix of common parts and custom/printed components.
Skill Complexity
Build/operation described as low-skill or basic assembly.
Equipment/Cosumable/Facility Requirement Accessibility
Requires specialized facilities, equipment, or consumables.
Application Level
Presented as modular or usable across multiple workflows.
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
We present the OpenFlexure Microscope software stack which provides computer control of our open source motorised microscope. Our diverse community of users needs both graphical and script-based interfaces. We split the control code into client and server applications interfaced via a web API conforming to the W3C Web of Things standard. A graphical interface is viewed either in a web browser or in our cross-platform Electron application, and gives basic interactive control including common operations such as Z stack acquisition and tiled scanning. Automated control is possible from Python and Matlab, or any language that supports HTTP requests. Network control makes the software stack more robust, allows multiple microscopes to be controlled by one computer, and facilitates sharing of equipment. Graphical and script-based clients can run simultaneously, making it easier to monitor ongoing experiments. We have included an extension mechanism to add functionality, for example controlling additional hardware components or adding automation routines. Using a Web of Things approach has resulted in a user-friendly and extremely versatile software control solution for the OpenFlexure Microscope, and we believe this approach could be generalized in the future to make automated experiments involving several instruments much easier to implement.
Bibliographic details
Access and metrics
Topics and keywords
Funding
- Royal Society · RGF\EA\181034, URF\R1\180153
- EPSRC · EP/R011443/1, EP/R013969/1
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.