• Executive roadmap — MVP definition, market fit, and go‑to‑market checklist.
• Design fundamentals — chip topologies, nondimensional scaling, and CAD/DFM tips.
• Droplet physics & modeling — reduced‑order models, surrogate training, and validation.
• Real‑time sensing — synchronized acquisition, low‑latency pipelines, and perception baselines.
• Closed‑loop control — MPC and RL patterns, safety layers, and latency budgeting.
• Active sorting & routing — predictive interception, actuator choices, and throughput tradeoffs.
• Single‑cell analysis — segmentation, tracking, explainable classifiers, and data governance.
• Assay orchestration — workflow engine, device abstraction, and adaptive branching.
• Materials & surfaces — wettability, fouling tests, coatings, and metadata practices.
• Uncertainty quantification — aleatoric/epistemic methods, calibrated surrogates, and decision integration.
• Transfer learning — sim‑to‑real, domain adaptation, and fine‑tuning recipes with sample‑efficiency curves.
• Validation & monitoring — test matrices, canary rollouts, telemetry, and retraining pipelines.
• Ethics & regulatory — risk registers, model cards, data governance, and standards mapping.
• Manufacturing & operations — pilot tooling, BOM, supplier qualification, and service playbooks.
• Business models & scaling — consumable strategies, pricing, partnerships, and KPIs.
• Deliverables pack — templates, checklists, validation protocols, and a pilot readiness report.

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