Lecture Plan: Brain Data Across Scales

What this document is

This page is a build plan for an instructor assembling a lecture on this unit. It gives the slide sequence, per-slide timing, the points at which figures belong, and the speaker notes that carry the argument. It is a design document, not a rendered deck: there are no slides on this page to project, and nothing here is written to be shown to learners as it stands.

A separately maintained Marp deck for this unit does exist, and it is linked at the foot of this page under Rendered deck artifacts. That deck was authored in its own right and does not follow this plan slide for slide, so treat this page as the teaching design and the Marp file as one existing implementation of it. The learner-facing material is the unit page linked under Connections.

Session profile

• Audience: learners who will design or evaluate cross-scale studies.
• Duration: 75 minutes lecture + 15 minutes exercise.
• Output: scale selection worksheet for one research question.

Slide-by-slide lecture plan

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

Figure integration points

• 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.

Speaker notes (expert-level)

• Quantify tradeoffs whenever possible (resolution vs volume vs cost).
• Highlight how scale-dependent uncertainty should be reported in final claims.

Assessment and artifacts

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

Connections

• Unit page: Brain Data Across Scales
• Journal club: Technical Track Journal Club
• Dictionary: Connectomics Dictionary
• Existing module overlap: module04, module05, module12

Rendered deck artifacts