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Deck Spec: 02 Brain Data Across Scales

Session

Slide production blocks

  1. Title and technical objective
    • Key message: scale choice determines what biological claims are valid.
    • Figure: FIG-SRC-MODULE12_LESSON1-S02-01
  2. Data-across-scales overview
    • Key message: modalities differ in resolvable structures and uncertainty.
    • Figure: FIG-SRC-MODULE12_LESSON1-S06-01
  3. Macro-to-micro pipeline bridge
    • Key message: acquisition scale and analysis scale are not interchangeable.
    • Figure: FIG-SRC-MODULE12_LESSON2-S04-01
  4. Representation transitions
    • Key message: volume -> segmentation -> skeleton/mesh -> graph carries information loss.
    • Figure: FIG-SRC-MODULE12_LESSON2-S05-01
  5. Engineering constraints at scale
    • Key message: storage, compute, and I/O become scientific constraints.
    • Figure: FIG-SRC-MODULE12_LESSON2-S06-01
  6. Historical context and modern use
    • Key message: historical imaging context informs current design choices.
    • Figure: FIG-SRC-MODULE12_LESSON3-S03-01
  7. Why connectomics needs cross-scale rigor
    • Key message: incomplete scale reasoning causes invalid inference.
    • Figure: FIG-SRC-MODULE12_LESSON3-S06-01
  8. Throughput and sectioning context
    • Key message: data-generation strategy constrains downstream representations.
    • Figure: FIG-SRC-MODULE12_LESSON3-S08-01
  9. Pipeline transition points
    • Key message: each handoff should preserve provenance and uncertainty metadata.
    • Figure: FIG-SRC-MODULE12_LESSON3-S10-01
  10. Failure modes
    • Key message: scale leakage, over-registration confidence, representation collapse.
  11. Activity instructions
    • Key message: choose a question and justify minimal sufficient scale.
  12. Debrief and bridge to Unit 03
    • Key message: acquisition quality determines what survives cross-scale analysis.

Assessment