Paper 14085-40
Paper 14085-40
Pattern extraction from 3D+t imaging of human sperm flagellar beating (Invited Paper)
16 April 2026 • 14:00 - 14:30 CEST | Luxembourg/Salon 2 (Niveau/Level 0)
Abstract
Understanding the intricate 3D motion of human sperm flagella is vital for uncovering mechanisms of motility, navigation, and fertilization. This study presents a computational framework for extracting spatio-temporal patterns from 3D+t imaging of sperm flagellar beating. Using feature-based descriptors, including parsed motion primitives and polar histograms, we characterize distinct motility patterns under varying physiological conditions. The proposed approach provides a quantitative means of analyzing flagellar dynamics, offering potential applications in fertility assessment, sperm diagnostics, and bio-inspired locomotion studies.
Presenter
Haydee O. Hernandez
Universidad Autónoma del Estado de Morelos (Mexico)
Graduated in Computer Science from the Universidad Autónoma del Estado de Morelos, where she is now an Assistant Professor in the Center for Research in Sciences, specializing in Artificial Intelligence applied to Bioimaging. Her thesis focused on parallelizing a super-resolution algorithm at the National Laboratory of Advanced Microscopy. She earned her Master's in Optics at INAOE, working on microscopy image reconstruction in scattering media, and completed her PhD at UNAM in Computer Science and Engineering, with a project on analyzing and classifying sperm flagellar beating patterns using 3D+t imaging. Additionally, she is involved with Educaciencia, a company that designs 3D-printed microscopes, trains teachers, and delivers STEM workshops for children and youth, promoting science education in Mexico.