openmedical/registry
← registry

scDINO

imported

data/scdino

Self-Supervised Vision Transformers for multiplexed imaging datasets

Machine-generated from the listed sources and not yet reviewed by a human.

scDINO project image
GitHub preview card for JacobHanimann/scDINO. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
fluorescence-microscopy-imaging · greyscale-image · high-content-screening · morphology · multi-channel · multi-head-attention · phenotyping · self-supervised-learning
Regulatory
unknown
built by · 4

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • microsnoop-publishhigh-content-screening · self-supervised-learning

    Microsnoop: A generalist tool for microscopy image representation

  • rivuletpymorphology

    Robust 3D Neuron Tracing / General 3D tree structure extraction in Python for 3D images powered by the Rivulet2 algorithm. Pain-free Install & use in 5 mins.

  • VBMmorphology

    Voxel-based morphometry pipeline (python version)

  • NeuriteOutgrowthhigh-content-screening

    A tool for automatic neurite outgrowth and cell viability estimation using deep learning and graph theory.

  • openhcshigh-content-screening

    Typed, reproducible high-content microscopy workflows across GUI, Python, CellProfiler, Napari/Fiji, GPU, and local MCP agents.

  • ColiCoordsfluorescence-microscopy-imaging

    Single-cell fluorescence microscopy data analysis

sources
  1. api.github.com/repos/JacobHanimann/scDINO
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-23, 67 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 →

machine-readable

/v1/entries/51.json→ .entries["scdino"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.