Zhang, Xiaoyan, Dumčius, Povilas, Mikhaylov, Roman, Qi, Jiangfa, Stringer, Mercedes, Sun, Chao, Nguyen, Van Dien, Zhou, You ORCID: https://orcid.org/0000-0002-1743-1291, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Liang, Dongfang, Liu, Dongge, Yan, Bing, Feng, Xi, Mei, Changjun, Xu, Cong, Feng, Mingqian, Fu, Yongqing, Clayton, Aled ORCID: https://orcid.org/0000-0002-3087-9226, Zhi, Ruicong, Tian, Liangfei, Dong, Zhiqiang and Yang, Xin ORCID: https://orcid.org/0000-0002-8429-7598 2024. Surface acoustic wave‐enhanced multi‐view acoustofluidic rotation cytometry (MARC) for pre‐cytopathological screening. Advanced Science , 2403574. 10.1002/advs.202403574 |
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Abstract
Cytopathology, crucial in disease diagnosis, commonly uses microscopic slides to scrutinize cellular abnormalities. However, processing high volumes of samples often results in numerous negative diagnoses, consuming significant time and resources in healthcare. To address this challenge, a surface acoustic wave‐enhanced multi‐view acoustofluidic rotation cytometry (MARC) technique is developed for pre‐cytopathological screening. MARC enhances cellular morphology analysis through comprehensive and multi‐angle observations and amplifies subtle cell differences, particularly in the nuclear‐to‐cytoplasmic ratio, across various cell types and between cancerous and normal tissue cells. By prioritizing MARC‐screened positive cases, this approach can potentially streamline traditional cytopathology, reducing the workload and resources spent on negative diagnoses. This significant advancement enhances overall diagnostic efficiency, offering a transformative vision for cytopathological screening.
Item Type: | Article |
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Date Type: | Published Online |
Status: | In Press |
Schools: | Engineering Medicine Computer Science & Informatics |
Additional Information: | License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/ |
Publisher: | Wiley Open Access |
ISSN: | 2198-3844 |
Date of First Compliant Deposit: | 14 August 2024 |
Date of Acceptance: | 20 July 2024 |
Last Modified: | 14 Aug 2024 09:45 |
URI: | https://orca.cardiff.ac.uk/id/eprint/171392 |
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