Xono2L
importedsoftware/xono2l
LabVIEW-compatible, extensible C++ API for capturing live ultrasound streams
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- gift-surg
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/gift-surg/Xono2L
- Documentation
- unknown
- Tags
- imaging · labview · medical · medical-imaging · real-time · real-time-video-streaming · streaming · ulterius
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- rf-ulmimaging · medical · medical-imaging
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts
- nexus-consoleimaging · medical
MRI console application based on spectrum-instrumentation measurement cards and pulse sequences from pypulseq. Read more in the docs!
- ngff-zarrimaging · medical
A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
- Dermatronmedical · medical-imaging
Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]
- dicommedical · medical-imaging
High Performance DICOM Medical Image Parser in Go.
- DICOM-reviewmedical · medical-imaging
DICOM stands for “Digital Imaging and Communications in Medicine”. It is an international standard for medical imaging.
- api.github.com/repos/gift-surg/Xono2Lretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2019-04-15, 3 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/9.json→ .entries["xono2l"]
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