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本文引用的文献

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Optofluidic imaging meets deep learning: from merging to emerging.光流成像与深度学习的融合:从合并到新兴。
Lab Chip. 2023 Mar 1;23(5):1011-1033. doi: 10.1039/d2lc00813k.
3
Automatic whole blood cell analysis from blood smear using label-free multi-modal imaging with deep neural networks.使用无标记多模态成像和深度神经网络进行血涂片的自动全血细胞分析。
Anal Chim Acta. 2022 Oct 9;1229:340401. doi: 10.1016/j.aca.2022.340401. Epub 2022 Sep 15.
4
On the robustness of machine learning algorithms toward microfluidic distortions for cell classification on-chip fluorescence microscopy.基于芯片荧光显微镜的细胞分类的机器学习算法对微流道变形的稳健性
Lab Chip. 2022 Sep 13;22(18):3453-3463. doi: 10.1039/d2lc00482h.
5
Growth Characteristic Analysis of in a Microfluidic Chip Using Digital in-Line Holographic Flow Cytometry.使用数字在线共聚焦流式细胞术分析微流控芯片中的 生长特性。
Anal Chem. 2022 Apr 19;94(15):5769-5775. doi: 10.1021/acs.analchem.1c04732. Epub 2022 Apr 6.
6
Transformer oil quality evaluation using quantitative phase microscopy.利用定量相显微镜评估变压器油质量。
Appl Opt. 2022 Jan 10;61(2):422-428. doi: 10.1364/AO.440583.
7
Deep imaging flow cytometry.深度成像流式细胞术。
Lab Chip. 2022 Mar 1;22(5):876-889. doi: 10.1039/d1lc01043c.
8
High-speed fluorescence image-enabled cell sorting.高速荧光图像引导的细胞分选。
Science. 2022 Jan 21;375(6578):315-320. doi: 10.1126/science.abj3013. Epub 2022 Jan 20.
9
Acoustic Standing Wave Aided Multiparametric Photoacoustic Imaging Flow Cytometry.声驻波辅助多参数光声成像流动 cytometry。
Anal Chem. 2021 Nov 9;93(44):14820-14827. doi: 10.1021/acs.analchem.1c03713. Epub 2021 Oct 29.
10
PhaseRMiC: phase real-time microscope camera for live cell imaging.PhaseRMiC:用于活细胞成像的相实时显微镜相机。
Biomed Opt Express. 2021 Jul 26;12(8):5261-5271. doi: 10.1364/BOE.430115. eCollection 2021 Aug 1.

双视角强度相位成像流式细胞术的传输

Dual-view transport of intensity phase imaging flow cytometry.

作者信息

Sun Aihui, Li Yaxi, Zhu Pengfei, He Xiaoliang, Jiang Zhilong, Kong Yan, Liu Cheng, Wang Shouyu

机构信息

Department of Optoelectronic Information Science and Engineering, School of Science, Jiangnan University, Wuxi, Jiangsu, 214122, China.

Radiology Department, Jiangnan University Medical Center, Wuxi, Jiangsu, 214122, China.

出版信息

Biomed Opt Express. 2023 Sep 14;14(10):5199-5207. doi: 10.1364/BOE.504863. eCollection 2023 Oct 1.

DOI:10.1364/BOE.504863
PMID:37854577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10581798/
Abstract

In this work, we design multi-parameter phase imaging flow cytometry based on dual-view transport of intensity (MPFC), which integrates phase imaging and microfluidics to a microscope, to obtain single-shot quantitative phase imaging on cells flowing in the microfluidic channel. The MPFC system has been proven with simple configuration, accurate phase retrieval, high imaging contrast, and real-time imaging and has been successfully employed not only in imaging, recognizing, and analyzing the flowing cells even with high-flowing velocities but also in tracking cell motilities, including rotation and binary rotation. Current results suggest that our proposed MPFC provides an effective tool for imaging and analyzing cells in microfluidics and can be potentially used in both fundamental and clinical studies.

摘要

在本研究中,我们基于强度双视图传输设计了多参数相成像流式细胞术(MPFC),该技术将相成像和微流体技术集成到显微镜中,以对微流体通道中流动的细胞进行单次定量相成像。MPFC系统已被证明具有结构简单、相位恢复准确、成像对比度高和实时成像的特点,不仅成功应用于对即使具有高流速的流动细胞进行成像、识别和分析,还用于跟踪细胞运动,包括旋转和双旋转。目前的结果表明,我们提出的MPFC为微流体中的细胞成像和分析提供了一种有效工具,并且可能在基础研究和临床研究中都有应用。