Athanasia Sergounioti

Smartphone-Coupled Phase Contrast Microscopy Combined with Deep Transfer Learning for Candida Species Identification: A Proof-of-Concept Study

This study demonstrates that smartphone-coupled phase contrast microscopy with deep transfer learning can achieve high accuracy in identifying Candida species from clinical isolates.

Uncovering Symbolic Convergence in Human Sperm Motility: A Data-Driven Analysis of Monotonic Trajectory Clusters

The paper uses symbolic encoding to identify a consistent trajectory cluster in sperm motility data, characterized by low entropy and high motif dominance.

Phase-Space Dynamics Reveal Structured and Chaotic Motility in Human Sperm via DTW Clustering

The paper uses DTW clustering to identify structured and chaotic motility phenotypes in human sperm from the VISEM dataset, revealing distinct dynamic patterns and fatigue characteristics.

Novel Fatigue Profiling Approach Highlights Temporal Dynamics of Human Sperm Motility

The paper develops a Fatigue Index to quantify temporal motility decline in human sperm trajectories using CASA data, identifying subpopulations with time-dependent motility deterioration.