Slide Deck Draft: Brain Data Across Scales

Session profile

Slide 1 (2 min): Title and unit objective
Slide 2 (5 min): Why scale is a technical, not cosmetic, choice
Slide 3 (6 min): Modality ladder
- Macro to nano; what each tier can resolve.
Slide 4 (6 min): Acquisition scale vs analysis scale
- Common mismatch patterns and consequences.
Slide 5 (6 min): Representation stack
- Volumes, segments, skeletons, meshes, graphs.
Slide 6 (6 min): Registration fundamentals
- Transform classes and uncertainty propagation.
Slide 7 (6 min): Anisotropy and sampling artifacts
- Why isotropic assumptions fail.
Slide 8 (6 min): Compute/storage implications by scale
- I/O, memory, and indexing costs.
Slide 9 (7 min): Worked case
- Same hypothesis evaluated at two scales, different conclusions.
Slide 10 (5 min): Cross-scale provenance
- Required metadata for reproducible linkage.
Slide 11 (5 min): Failure modes
- Scale leakage, over-registration confidence, representation collapse.
Slide 12 (5 min): Protocol checklist
- Minimal sufficient scale decision template.
Slide 13 (5 min): Activity
- Pick one question and defend your chosen scale.
Slide 14 (5 min): Bridge to acquisition quality in Unit 03.

Primary shortlist: course/units/figures/02-brain-data-across-scales-selected-v1.md.
Must include one panel showing representation conversion and one showing registration residuals.

Deliverable: scale-aware study design card.
Rubric dimensions: feature resolvability, transform traceability, and resource realism.