Link, A. , Luna Pardo, I., Porr, B. and Franke, T. (2023) AI based image analysis of red blood cells in oscillating microchannels. RSC Advances, 13(41), pp. 28576-28582. (doi: 10.1039/D3RA04644C) (PMID:37780736) (PMCID:PMC10537593)
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Abstract
The flow dynamics of red blood cells in vivo in blood capillaries and in vitro in microfluidic channels is complex. Cells can obtain different shapes such as discoid, parachute, slipper-like shapes and various intermediate states depending on flow conditions and their viscoelastic properties. We use artificial intelligence based analysis of red blood cells (RBCs) in an oscillating microchannel to distinguish healthy red blood cells from red blood cells treated with formaldehyde to chemically modify their viscoelastic behavior. We used TensorFlow to train and validate a deep learning model and achieved a testing accuracy of over 97%. This method is a first step to a non-invasive, label-free characterization of diseased red blood cells and will be useful for diagnostic purposes in haematology labs. This method provides quantitative data on the number of affected cells based on single cell classification.
| Item Type: | Articles |
|---|---|
| Additional Information: | The works was supported by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 813786 (EVOdrops). Additionally, the authors acknowledge support from the UK Engineering and Physical Sciences Research Council (EPSRC) via grant EP/P018882/1. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Link, Mr Andreas and Porr, Dr Bernd and Franke, Professor Thomas |
| Authors: | Link, A., Luna Pardo, I., Porr, B., and Franke, T. |
| College/School: | College of Science and Engineering > School of Engineering > Biomedical Engineering |
| Journal Name: | RSC Advances |
| Publisher: | Royal Society of Chemistry |
| ISSN: | 2046-2069 |
| ISSN (Online): | 2046-2069 |
| Published Online: | 28 September 2023 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in RSC Advances 13(41): 28576-28582 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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