Sperm Tracking and Trajectory Analysis in Fluorescence Microscopy Image Sequences

Lucía Arboleya, Leonardo Santos, Mariano Fernández, Lucía Rosa-Villagrán, Rossana Sapiro, Federico Lecumberry

2021

Abstract

In this work, we analyze the performance of several tracking methods in the scenarios of low temporal sampling acquisition setup in fluorescence microscopy. Machine Learning methods were applied to classify and analyze the extracted trajectories of sperm samples and their motion parameters. The results were compared with the most widely used sperm motility classification methods. Analyzed image sequences include real sequences acquired by confocal fluorescence microscopy and synthetic sequences generated by in-house software. The complete framework runs as a standalone application and can be used with minimal training by users with no programming skills.

Paper Citation

in Harvard Style

Arboleya L., Santos L., Fernández M., Rosa-Villagrán L., Sapiro R. and Lecumberry F. (2021). Sperm Tracking and Trajectory Analysis in Fluorescence Microscopy Image Sequences. In Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, ISBN 978-989-758-525-8, pages 103-110. DOI: 10.5220/0010625501030110

in Bibtex Style

@conference{sigmap21,
author={Lucía Arboleya and Leonardo Santos and Mariano Fernández and Lucía Rosa-Villagrán and Rossana Sapiro and Federico Lecumberry},
title={Sperm Tracking and Trajectory Analysis in Fluorescence Microscopy Image Sequences},
booktitle={Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,},
year={2021},
pages={103-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010625501030110},
isbn={978-989-758-525-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,
TI - Sperm Tracking and Trajectory Analysis in Fluorescence Microscopy Image Sequences
SN - 978-989-758-525-8
AU - Arboleya L.
AU - Santos L.
AU - Fernández M.
AU - Rosa-Villagrán L.
AU - Sapiro R.
AU - Lecumberry F.
PY - 2021
SP - 103
EP - 110
DO - 10.5220/0010625501030110