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基于声表面波增强的多角度声流控旋转细胞分析(MARC)用于细胞病理前筛查。

Surface Acoustic Wave-Enhanced Multi-View Acoustofluidic Rotation Cytometry (MARC) for Pre-Cytopathological Screening.

机构信息

Department of Electrical and Electronic Engineering, School of Engineering, Cardiff University, Cardiff, CF24 3AA, UK.

International Joint Laboratory of Biomedicine and Engineering, College of Biomedicine and Health, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, P. R. China.

出版信息

Adv Sci (Weinh). 2024 Oct;11(39):e2403574. doi: 10.1002/advs.202403574. Epub 2024 Aug 13.

DOI:10.1002/advs.202403574
PMID:39136049
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11497091/
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.

摘要

细胞病理学在疾病诊断中起着至关重要的作用,通常使用显微镜载玻片来仔细观察细胞异常。然而,处理大量样本通常会导致大量阴性诊断,在医疗保健中耗费大量时间和资源。为了解决这一挑战,开发了一种基于表面声波增强的多视角声流控旋转细胞术(MARC)技术,用于预细胞病理学筛选。MARC 通过全面和多角度观察增强了细胞形态分析,并放大了不同细胞类型和癌性与正常组织细胞之间的细微细胞差异,特别是核质比。通过优先筛选 MARC 筛选出的阳性病例,这种方法有可能简化传统的细胞病理学,减少阴性诊断所需的工作量和资源。这一重大进展提高了整体诊断效率,为细胞病理学筛查带来了变革性的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/c7fb54d1d8e9/ADVS-11-2403574-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/13f43cd75d16/ADVS-11-2403574-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/08240ca00204/ADVS-11-2403574-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/aeba16cb1561/ADVS-11-2403574-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/615a384d83d3/ADVS-11-2403574-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/8ee8d82b843c/ADVS-11-2403574-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/c7fb54d1d8e9/ADVS-11-2403574-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/13f43cd75d16/ADVS-11-2403574-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/08240ca00204/ADVS-11-2403574-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/aeba16cb1561/ADVS-11-2403574-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/615a384d83d3/ADVS-11-2403574-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/8ee8d82b843c/ADVS-11-2403574-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f5e/11497091/c7fb54d1d8e9/ADVS-11-2403574-g002.jpg

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