Route:
Problems

P2 · Bridging & Identity

Is this FlyWire neuron the same cell as that hemibrain one?

Cross-dataset identity via shared typing and morphology.

Key question: Is this FlyWire neuron the same cell as that hemibrain one?

Route A: Python API

Cross-dataset identity via shared typing and morphology. Resolve both IDs, compare their ontology types, and confirm with NBLAST.

from vfb_connect import vfb

# Get neuron info from both datasets
fw_neuron = vfb.get_instances_by_id("VFB_fw035286")
hb_neuron = vfb.get_instances_by_id("VFB_jrchjtdb")

# Compare cell types
print(f"FlyWire type: {fw_neuron['cell_type'].iloc[0]}")
print(f"Hemibrain type: {hb_neuron['cell_type'].iloc[0]}")

Route B: MCP Tool

Ask the MCP tool to find cross-dataset matches and compare cell types.

Example Prompt

Here's a FlyWire neuron VFB_id X. Find the morphologically closest neuron in the hemibrain and tell me if they're annotated as the same type.

Route C: VFB Chat

Chat can help you explore candidate matches across datasets.

Optimized prompt: Give the specific ID and ask for the match with type confirmation.

VFB Chat
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Tip: End your questions with "and give me the VFB IDs" to get identifiers you can use in Python.

Route D: 3D Circuit Browser

Visualize both neurons together in template space to assess morphological similarity.
Open in Circuit Browser

When to Reach for Which Route

  • API for a defensible, reproducible mapping with NBLAST scores
  • MCP/Chat to explore candidates quickly before formal analysis