bioengine
importedsoftware/bioengine
BioEngine is a distributed AI platform that brings the power of cloud computing to bioimage analysis.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- aicell-lab
- Country
- unknown
- Homepage
- bioimage.io/#/bioengine
- Repository
- github.com/aicell-lab/bioengine
- Documentation
- unknown
- Tags
- ai-agents · bioimage-analysis · bioinformatics · cellpose · deep-learning · gpu-computing · hypha · image-segmentation · microscopy · model-zoo · python · ray-serve
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- cellseg_models.pytorchcellpose · microscopy
Encoder-Decoder Cell and Nuclei segmentation models
- openhcsbioimage-analysis · gpu-computing · microscopy
Typed, reproducible high-content microscopy workflows across GUI, Python, CellProfiler, Napari/Fiji, GPU, and local MCP agents.
- pansegbioimage-analysis · bioinformatics · image-segmentation
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- pyvsnrgpu-computing · microscopy
A Python library for computing the VSNR in 2D images. It provides both CPU and GPU implementations.
- brain_tissue_nuc_segmbioimage-analysis · microscopy
Segmentation of nuclear signals in fluorescently stained mouse brain tissue sections. Segmentations performed with a fine-tuned Stardist 3D model and/or Cellpose
- Enhancing-Reproducibilitybioimage-analysis · microscopy
Companion notebooks for our paper on reproducible statistics in bioimage analysis — runs in-browser via Binder
- api.github.com/repos/aicell-lab/bioengineretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-25, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/47.json→ .entries["bioengine"]
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