Discrete-Event Signatures in Microscopic Vesicular Dynamics

Empirical Invariants and Falsifiable Predictions in Microscopic Vesicular Dynamics Overview This dataset and accompanying paper analyze ten optical microscopy videos from the Sincere Science Wave B observational program. The recorded phenomena consistently display: Centered structures with differentiated peripheries. Multi-scale repetition (fractal-like morphology). An absence of coalescence, defying standard fluid-fusion expectations. To ensure objectivity, an independent analysis by an external AI system—operating outside the theoretical framework—was utilized to confirm these morphological invariants. Theoretical Framework The study adopts an endpoint-only ontology, prioritizing discrete events and their relational structures over continuous-medium assumptions. From this foundation, we derive ten specific, falsifiable predictions regarding vesicular dynamics. The Gate Prediction (P4.1) The integrity of the derivational chain rests on Prediction 4.1: The ratio of integrated-intensity variances of two vesicular peripheral tunnels is equal to the ratio of their masses. Testability: High (executable via standard optical microscopy). Status: Critical. Falsification of P4.1 would compromise the central theoretical framework. Extended Predictions Beyond the central gate, the paper details: Secondary Predictions (5): Covering slide kinematics, larval migration, bond saturation, velocity–mass anti-correlation, and Poisson statistics of solitary entity arrivals. Ontologically Discriminating Predictions (2): These distinguish the model from continuous-medium alternatives, though they remain operationally inaccessible with current microscopy resolution. Methodology & Open Science This submission specifies the complete experimental and statistical architecture: Experimental Protocols: Detailed setup for replicating observations. Statistical Rigor: Procedures utilizing corrected log-scale standard errors and a False-Discovery-Rate (FDR) hierarchy. Falsification Criteria: Explicit conditions under which each prediction must be considered refuted.