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Authors: Lucía Arboleya 1 ; Leonardo de Los Santos 1 ; Mariano Fernández 1 ; Lucía Rosa-Villagrán 2 ; Rossana Sapiro 2 and Federico Lecumberry 1

Affiliations: 1 Signal Processing Department, Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, J. Herrera y Reissig 565, Montevideo, Uruguay ; 2 Departamento de Embriología e Histología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay

Keyword(s): Sperm Tracking, Particle Tracking, Trajectory Classification, Trajectory Analysis.

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.

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Paper citation in several formats:
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 - SIGMAP; ISBN 978-989-758-525-8; ISSN 2184-9471, SciTePress, pages 103-110. DOI: 10.5220/0010625501030110

@conference{sigmap21,
author={Lucía Arboleya. and Leonardo de Los 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 - SIGMAP},
year={2021},
pages={103-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010625501030110},
isbn={978-989-758-525-8},
issn={2184-9471},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP
TI - Sperm Tracking and Trajectory Analysis in Fluorescence Microscopy Image Sequences
SN - 978-989-758-525-8
IS - 2184-9471
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
PB - SciTePress

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