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AutoStereota

imported

software/autostereota

An open-source automated surgical instrument for microendoscope implantation

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

AutoStereota project image
GitHub preview card for liang-bo/AutoStereota. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
calcium-imaging · deep-brain-imaging · grin-lens-implantation · miniscope · surgical-robots
Regulatory
unknown
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.

  • miocalcium-imaging · miniscope

    miniscope I/O sdk

  • dicom_to_rossurgical-robots

    ROS 2 pipeline that receives DICOM files over the network and translates them into standard ROS 2 topics

  • Codes related to the paper "Attention-Based CNN-BiLSTM for Sleep States Classification of Spatiotemporal Wide-Field Calcium Imaging Data"

  • GutAnalysisToolboxcalcium-imaging

    Analysis and characterisation of cells within the gut wall using deep learning models. The current focus is on studying enteric neurons and enteric glia.

  • MVG-CNNcalcium-imaging

    Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"

  • STABLEcalcium-imaging

    Preserving Spatial and Quantitative Information in Unpaired Biomedical Image-to-Image Translation

sources
  1. api.github.com/repos/liang-bo/AutoStereota
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-11-18, 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 →

machine-readable

/v1/entries/5.json→ .entries["autostereota"]

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