Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm

Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm

Accurate and automated detection and tracking of cells in microscopy images is a persistent challenge in biotechnology and biomedical research. Effective detection and tracking are crucial for understanding biological processes and extracting meaningful data for subsequent simulations. In this study...

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Bibliographic Details
Main Authors: Mokhaled N. A. Al-Hamadani, Richard Poroszlay, Gabor Szeman-Nagy, Andras Hajdu, Stathis Hadjidemetriou, Luca Ferrarini, Balazs Harangi
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
microscopy images
cell detection
YOLO model
cell tracking
DeepSORT algorithm
UKF
Online Access:https://www.mdpi.com/1424-8220/25/14/4361
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