Academic literature on the topic 'Multiplexed fluorescence imaging'

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Journal articles on the topic "Multiplexed fluorescence imaging"

1

Cappella, Paolo, and Fabio Gasparri. "Highly Multiplexed Phenotypic Imaging for Cell Proliferation Studies." Journal of Biomolecular Screening 19, no. 1 (2013): 145–57. http://dx.doi.org/10.1177/1087057113495712.

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The application of multiplexed imaging technologies in phenotypic drug discovery (PDD) enables profiling of complex cellular perturbations in response to drug treatment. High-content analysis (HCA) is among the most pursued approaches in PDD, with a proven capability to identify compounds with a given cellular mechanism of action (MOA), as well as to unveil unexpected drug cellular activities. The ability of fluorescent image-based cytometric techniques to dissect the phenotypic heterogeneity of cell populations depends on the degree of multiplexing achievable. At present, most high-content assays employ up to four cellular markers separately detected in distinct fluorescence channels. We explored the possibility to increase HCA multiplexing through analysis of multiple proliferation markers in the same fluorescence channel by taking advantage of the different timing of antigen appearance during the cell cycle, or differential intracellular localization. Simultaneous analysis of DAPI staining and five immunofluorescence markers (BrdU incorporation, active caspase-3, phospho-histone H3, phospho-S6, and Ki-67) resulted in the first six-marker high-content assay readily applicable to compound MOA studies. This approach allows detection of rare cell subpopulations, unveiling a high degree of phenotypic heterogeneity in exponentially growing cell cultures and variability in the individual cell response to antiproliferative drugs.
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2

Liu, Hsiou-Yuan, Jingshan Zhong, and Laura Waller. "Multiplexed phase-space imaging for 3D fluorescence microscopy." Optics Express 25, no. 13 (2017): 14986. http://dx.doi.org/10.1364/oe.25.014986.

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3

Luo, Teng, Ting Zhou, Yihua Zhao, Liwei Liu, and Junle Qu. "Multiplexed fluorescence lifetime imaging by concentration-dependent quenching." Journal of Materials Chemistry B 6, no. 13 (2018): 1912–19. http://dx.doi.org/10.1039/c8tb00095f.

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4

Ko, Jina, Juhyun Oh, Maaz S. Ahmed, Jonathan C. T. Carlson, and Ralph Weissleder. "Ultra‐fast Cycling for Multiplexed Cellular Fluorescence Imaging." Angewandte Chemie 132, no. 17 (2020): 6906–13. http://dx.doi.org/10.1002/ange.201915153.

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Ko, Jina, Juhyun Oh, Maaz S. Ahmed, Jonathan C. T. Carlson, and Ralph Weissleder. "Ultra‐fast Cycling for Multiplexed Cellular Fluorescence Imaging." Angewandte Chemie International Edition 59, no. 17 (2020): 6839–46. http://dx.doi.org/10.1002/anie.201915153.

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6

Gamber, Kevin, Arne Christians, Spencer Schwarz, et al. "Quantitative Immune Profiling of Human Tumor Tissues with Multiplexed ChipCytometry." Journal of Immunology 206, no. 1_Supplement (2021): 68.05. http://dx.doi.org/10.4049/jimmunol.206.supp.68.05.

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Abstract Cancer therapies that rely on manipulating or engineering immune cells have shown much promise in recent years for effectively combating a broad array of cancer types. In order to determine the effectiveness of such therapies, it is necessary to accurately profile the complement of immune cell types present in the tumor microenvironment. Methods to reliably obtain immune cell signatures require the combination of powerful resolution to discriminate cell boundaries, broad dynamic range to capture markers of varying expression levels, and accurate cell segmentation across a wide range of cell sizes and morphologies. Many methods for quantitative immune cell profiling have demonstrated shortcomings when it comes to the aforementioned attributes. To remedy these shortcomings, we present here ChipCytometry, an imaging technology for immune profiling of cells and sectioned tissues. ChipCytometry is a fluorescence-based imaging system that utilizes multiplexed immuno-fluorescence staining in combination with high-dynamic-range (HDR) imaging to facilitate quantitative phenotyping of individual cells within tissue samples. Employing this technology to profile metastatic and primary tumors, multiple biomarkers were stained in iterative multiplex assays to profile single cells with an AI-powered cell segmentation algorithm. The HDR imaging allows for both strong and weak fluorescent signals to be simultaneously obtained without loss of sensitivity. This immune profiling was completed on 6 different cryosectioned human tumor tissues (head & neck, liver, lung, breast, colon, and pancreas).
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7

Mizuno, T., E. Hase, T. Minamikawa, et al. "Full-field fluorescence lifetime dual-comb microscopy using spectral mapping and frequency multiplexing of dual-comb optical beats." Science Advances 7, no. 1 (2021): eabd2102. http://dx.doi.org/10.1126/sciadv.abd2102.

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Fluorescence lifetime imaging microscopy (FLIM) is a powerful tool for quantitative fluorescence imaging because fluorescence lifetime is independent of concentration of fluorescent molecules or excitation/detection efficiency and is robust to photobleaching. However, since most FLIMs are based on point-to-point measurements, mechanical scanning of a focal spot is needed for forming an image, which hampers rapid imaging. Here, we demonstrate scan-less full-field FLIM based on a one-to-one correspondence between two-dimensional (2D) image pixels and frequency-multiplexed radio frequency (RF) signals. A vast number of dual-comb optical beats between dual optical frequency combs are effectively adopted for 2D spectral mapping and high-density frequency multiplexing in the RF region. Bimodal images of fluorescence amplitude and lifetime are obtained with high quantitativeness from amplitude and phase spectra of fluorescence RF comb modes without the need for mechanical scanning. The parallelized FLIM will be useful for rapid quantitative fluorescence imaging in life science.
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8

Xu, Jian, Tianyue Zhang, Shenyu Yang, et al. "Plasmonic Nanoprobes for Multiplexed Fluorescence-Free Super-Resolution Imaging." Advanced Optical Materials 6, no. 20 (2018): 1800432. http://dx.doi.org/10.1002/adom.201800432.

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9

Lv, Yanlu, Jiulou Zhang, Dong Zhang, Wenjuan Cai, Nanguang Chen, and Jianwen Luo. "In vivosimultaneous multispectral fluorescence imaging with spectral multiplexed volume holographic imaging system." Journal of Biomedical Optics 21, no. 6 (2016): 060502. http://dx.doi.org/10.1117/1.jbo.21.6.060502.

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10

Keshri, Puspam, Bin Zhao, Tianfa Xie, et al. "Quantitative and Multiplexed Fluorescence Lifetime Imaging of Intercellular Tensile Forces." Angewandte Chemie 133, no. 28 (2021): 15676–83. http://dx.doi.org/10.1002/ange.202103986.

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