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基于角度分辨散射光检测的脉冲形状的细胞分选。

Cell sorting based on pulse shapes from angle resolved detection of scattered light.

机构信息

German Rheumatology Research Center (DRFZ) - Flow Cytometry Core Facility, Charitéplatz 1 (Virchowweg 12), 10117, Berlin, Germany.

APE Angewandte Physik und Elektronik GmbH, Plauener Straße 163-165 / Haus N, 13053, Berlin, Germany.

出版信息

Commun Biol. 2024 Aug 30;7(1):1063. doi: 10.1038/s42003-024-06759-5.

DOI:10.1038/s42003-024-06759-5
PMID:39215170
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11364749/
Abstract

Flow cytometry is a key technology for the analysis and sorting of cells or particles at high throughput. Conventional and current flow cytometry is primarily based on fluorescent stains to detect the cells of interest. However, such stains also have disadvantages, as their effect on cells must be carefully tested to avoid effects on the results of the experiments. Alternative approaches using imaging or other label-free techniques often require highly sophisticated setups, are commonly limited in resolution, and produce challenging amounts of data. Our technology exploits scattered light instead. The custom-built flow cytometry setup comprises a fiber array in forward scatter detection for angular resolution and captures the whole pulse shape with advanced signal processing. Thereby this setup enables cell analysis and sorting purely based on scattered light signals without the need for fluorescent labels. We demonstrate the feasibility of this cell sorting technology by sorting cell lines for their cell cycle stages based on scattered light. Furthermore, we demonstrate the ability to classify human peripheral blood T- and B-cell subsets.

摘要

流式细胞术是一种高通量分析和分选细胞或颗粒的关键技术。传统和当前的流式细胞术主要基于荧光染色来检测感兴趣的细胞。然而,这些染色剂也有缺点,因为必须仔细测试它们对细胞的影响,以避免对实验结果产生影响。使用成像或其他无标记技术的替代方法通常需要高度复杂的设置,通常在分辨率上受到限制,并且产生具有挑战性的数据量。我们的技术利用散射光。定制的流式细胞术设置包括用于角分辨率的前向散射检测中的光纤阵列,并通过先进的信号处理捕获整个脉冲形状。因此,该设置能够仅基于散射光信号进行细胞分析和分选,而无需荧光标记。我们通过基于散射光对细胞周期阶段进行分选来证明这种细胞分选技术的可行性。此外,我们还证明了对人外周血 T 细胞和 B 细胞亚群进行分类的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/e2c4bad69fb6/42003_2024_6759_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/f41b8bc21666/42003_2024_6759_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/5fc2bc855eea/42003_2024_6759_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/85d0b08dcc6a/42003_2024_6759_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/405b00846940/42003_2024_6759_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/f3e252112e53/42003_2024_6759_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/0320fbf5e104/42003_2024_6759_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/e3eaf279ad52/42003_2024_6759_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/e2c4bad69fb6/42003_2024_6759_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/f41b8bc21666/42003_2024_6759_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/5fc2bc855eea/42003_2024_6759_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/85d0b08dcc6a/42003_2024_6759_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/405b00846940/42003_2024_6759_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/f3e252112e53/42003_2024_6759_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/0320fbf5e104/42003_2024_6759_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/e3eaf279ad52/42003_2024_6759_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d20/11364749/e2c4bad69fb6/42003_2024_6759_Fig8_HTML.jpg

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Automated antibody dispensing to improve high-parameter flow cytometry throughput and analysis.自动化抗体分配以提高高通量流式细胞术的通量和分析效率。
Cytometry A. 2024 Jun;105(6):464-473. doi: 10.1002/cyto.a.24835. Epub 2024 Mar 8.
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COSMOS: a platform for real-time morphology-based, label-free cell sorting using deep learning.COSMOS:一个基于深度学习的实时形态学、无标记细胞分选平台。
Commun Biol. 2023 Sep 22;6(1):971. doi: 10.1038/s42003-023-05325-9.
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Cell Granularity Reflects Immune Cell Function and Enables Selection of Lymphocytes with Superior Attributes for Immunotherapy.
细胞粒度反映免疫细胞功能,并能够选择具有优异免疫治疗属性的淋巴细胞。
Adv Sci (Weinh). 2023 Oct;10(28):e2302175. doi: 10.1002/advs.202302175. Epub 2023 Aug 6.
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Variability of fluorescence intensity distribution measured by flow cytometry is influenced by cell size and cell cycle progression.流式细胞术测量的荧光强度分布的可变性受细胞大小和细胞周期进程的影响。
Sci Rep. 2023 Mar 25;13(1):4889. doi: 10.1038/s41598-023-31990-1.
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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.
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Physical Cytometry: Detecting Mass-Related Properties of Single Cells.物理细胞术:检测单细胞的质量相关特性。
ACS Sens. 2022 Jan 28;7(1):21-36. doi: 10.1021/acssensors.1c01787. Epub 2022 Jan 3.
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In silico-labeled ghost cytometry.计算机标记鬼细胞计数。
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Multi-angle pulse shape detection of scattered light in flow cytometry for label-free cell cycle classification.流式细胞术散射光多角度脉冲形状检测用于无标记细胞周期分类。
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Development of a 43 color panel for the characterization of conventional and unconventional T-cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry.利用光谱流式细胞术开发一个包含43种颜色的面板,用于鉴定常规和非常规T细胞亚群、B细胞、自然杀伤细胞、单核细胞、树突状细胞和固有淋巴细胞。
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