{"id":70851,"date":"2025-10-27T13:41:36","date_gmt":"2025-10-27T11:41:36","guid":{"rendered":"https:\/\/www.uol.ac.cy\/?p=70851"},"modified":"2025-10-27T13:41:45","modified_gmt":"2025-10-27T11:41:45","slug":"title-improving-cell-detection-and-tracking-in-microscopy-images-using-yolo-and-an-enhanced-deepsort-algorithm","status":"publish","type":"post","link":"https:\/\/www.uol.ac.cy\/en\/title-improving-cell-detection-and-tracking-in-microscopy-images-using-yolo-and-an-enhanced-deepsort-algorithm\/","title":{"rendered":"Title: Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Abstract<\/strong>:<br>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, we present an integrated pipeline that leverages a fine-tuned YOLOv8x model for detecting cells and cell divisions across microscopy image series. While YOLOv8x exhibits strong detection capabilities, it occasionally misses certain cells, leading to gaps in data. To mitigate this, we incorporate the DeepSORT tracking algorithm, which enhances data association and reduces the cells\u2019 identity (ID) switches by utilizing a pre-trained convolutional network for robust multi-object tracking. This combination ensures continuous detection and compensates for missed detections, thereby improving overall recall. Our approach achieves a recall of 93.21% with the enhanced DeepSORT algorithm, compared to the 53.47% recall obtained by the original YOLOv8x model. The proposed pipeline effectively extracts detailed information from structured image datasets, providing a reliable approximation of cellular processes in culture environments.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong>Citation (APA style)<\/strong>:<br>Al-Hamadani, M. N. A., Poroszlay, R., Szeman-Nagy, G., Hajdu, A., Hadjidemetriou, S., Ferrarini, L., &amp; Harangi, B. (2025). Improving cell detection and tracking in microscopy images using YOLO and an enhanced DeepSORT algorithm.&nbsp;<em>Sensors, 25<\/em>(14), 4361.&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/s25144361\">https:\/\/doi.org\/10.3390\/s25144361<\/a><\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-30245ba9\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap \">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-62f14869 wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/www.mdpi.com\/1424-8220\/25\/14\/4361\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><span class=\"uagb-button__icon uagb-button__icon-position-after\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\" aria-hidden=\"true\" focussable=\"false\"><path d=\"M438.6 278.6l-160 160C272.4 444.9 264.2 448 256 448s-16.38-3.125-22.62-9.375c-12.5-12.5-12.5-32.75 0-45.25L338.8 288H32C14.33 288 .0016 273.7 .0016 256S14.33 224 32 224h306.8l-105.4-105.4c-12.5-12.5-12.5-32.75 0-45.25s32.75-12.5 45.25 0l160 160C451.1 245.9 451.1 266.1 438.6 278.6z\"><\/path><\/svg><\/span><\/a><\/div><\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: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, we present an integrated pipeline that leverages a fine-tuned YOLOv8x model for detecting cells and [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":69164,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[123],"tags":[],"publication_author":[190],"publication_year":[189],"class_list":["post-70851","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-latest-publications","publication_author-stathis-hadjidemetriou","publication_year-189"],"acf":[],"uagb_featured_image_src":{"full":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou.jpg",1200,628,false],"thumbnail":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou-150x150.jpg",150,150,true],"medium":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou-300x157.jpg",300,157,true],"medium_large":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou-768x402.jpg",768,402,true],"large":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou-1024x536.jpg",1024,536,true],"1536x1536":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou.jpg",1200,628,false],"2048x2048":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou.jpg",1200,628,false],"trp-custom-language-flag":["https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou-18x9.jpg",18,9,true]},"uagb_author_info":{"display_name":"p.efstathiou@uol.ac.cy","author_link":"https:\/\/www.uol.ac.cy\/en\/author\/p-efstathiouuol-ac-cy\/"},"uagb_comment_info":0,"uagb_excerpt":"Abstract: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, we present an integrated pipeline that leverages a fine-tuned YOLOv8x model for detecting cells and&hellip;","jetpack_shortlink":"https:\/\/wp.me\/peAODB-iqL","publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"jetpack_featured_media_url":"https:\/\/www.uol.ac.cy\/wp-content\/uploads\/2025\/10\/7a_dr-stathis-hadjidemetriou.jpg","_links":{"self":[{"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/posts\/70851","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/comments?post=70851"}],"version-history":[{"count":0,"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/posts\/70851\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/media\/69164"}],"wp:attachment":[{"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/media?parent=70851"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/categories?post=70851"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/tags?post=70851"},{"taxonomy":"publication_author","embeddable":true,"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/publication_author?post=70851"},{"taxonomy":"publication_year","embeddable":true,"href":"https:\/\/www.uol.ac.cy\/en\/wp-json\/wp\/v2\/publication_year?post=70851"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}