{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:13:32Z","timestamp":1760148812150,"version":"build-2065373602"},"reference-count":40,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T00:00:00Z","timestamp":1686614400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Operational Program \u201cIntegrated Infrastructure\u201d of the project \u201cIntegrated strategy in the development of personalized medicine of selected malignant tumor diseases and its impact on life quality\u201d","award":["313011V446"],"award-info":[{"award-number":["313011V446"]}]},{"name":"European Regional Development Fund","award":["313011V446"],"award-info":[{"award-number":["313011V446"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>This work presents a dataset comprising images, annotations, and velocity fields for benchmarking cell detection and cell tracking algorithms. The dataset includes two video sequences captured during laboratory experiments, showcasing the flow of red blood cells (RBC) in microfluidic channels. From the first video 300 frames and from the second video 150 frames are annotated with bounding boxes around the cells, as well as tracks depicting the movement of individual cells throughout the video. The dataset encompasses approximately 20,000 bounding boxes and 350 tracks. Additionally, computational fluid dynamics simulations were utilized to generate 2D velocity fields representing the flow within the channels. These velocity fields are included in the dataset. The velocity field has been employed to improve cell tracking by predicting the positions of cells across frames. The paper also provides a comprehensive discussion on the utilization of the flow matrix in the tracking steps.<\/jats:p>","DOI":"10.3390\/data8060106","type":"journal-article","created":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T01:32:15Z","timestamp":1686706335000},"page":"106","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Curated Dataset for Red Blood Cell Tracking from Video Sequences of Flow in Microfluidic Devices"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0389-7891","authenticated-orcid":false,"given":"Ivan","family":"Cimr\u00e1k","sequence":"first","affiliation":[{"name":"Faculty of Management Science and Informatics, University of \u017dilina, Univerzitn\u00e1 8215\/1, 010 26 \u017dilina, Slovakia"},{"name":"Research Centre, University of \u017dilina, 010 26 \u017dilina, Slovakia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4815-3933","authenticated-orcid":false,"given":"Peter","family":"Tar\u00e1bek","sequence":"additional","affiliation":[{"name":"Faculty of Management Science and Informatics, University of \u017dilina, Univerzitn\u00e1 8215\/1, 010 26 \u017dilina, Slovakia"},{"name":"Research Centre, University of \u017dilina, 010 26 \u017dilina, Slovakia"}]},{"given":"Franti\u0161ek","family":"Kaj\u00e1nek","sequence":"additional","affiliation":[{"name":"Faculty of Management Science and Informatics, University of \u017dilina, Univerzitn\u00e1 8215\/1, 010 26 \u017dilina, Slovakia"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Huh, S., Eom, S., Bise, R., Yin, Z., and Kanade, T. 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