Academic literature on the topic 'Spectral Flow Cytometry'

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Journal articles on the topic "Spectral Flow Cytometry"

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Chao, Zixi, Yong Han, Zeheng Jiao, Zheng You, and Jingjing Zhao. "Prism Design for Spectral Flow Cytometry." Micromachines 14, no. 2 (2023): 315. http://dx.doi.org/10.3390/mi14020315.

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Flow cytometers are instruments used for the rapid quantitative analysis of cell suspension. Traditional flow cytometry uses multi-channel filters to detect fluorescence, whereas full-spectrum fluorescence based on dispersion detection is a more effective and accurate method. The application of various dispersion schemes in flow cytometry spectroscopy has been studied. From the perspective of modern detectors and demand for the miniaturization of flow cytometry, prism dispersion exhibits higher and more uniform light energy utilization, meaning that it is a more suitable dispersion method for
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Liszewski, Kathy. "Spectral Flow Cytometry Makes Debut." Genetic Engineering & Biotechnology News 33, no. 21 (2013): 1, 20–21. http://dx.doi.org/10.1089/gen.33.21.08.

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Robinson, J. Paul. "Flow cytometry: past and future." BioTechniques 72, no. 4 (2022): 159–69. http://dx.doi.org/10.2144/btn-2022-0005.

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Flow cytometry is a single-cell technology that measures scatter and fluorescence to establish a set of unique cellular properties. Flow cytometry is used in many areas of science, in particular biotechnology and medicine, but also in industrial applications. Flow cytometry can identify multiple phenotypic subsets from a mixture, select a single cell and even isolate that cell by a process called cell sorting. The field is currently undergoing dramatic changes. We are moving rapidly from the polychromic flow cytometry that has been the go-to technology for 45 years to spectral flow cytometry,
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Zhang, Ting, Mengge Gao, Xiao Chen, et al. "Demands and technical developments of clinical flow cytometry with emphasis in quantitative, spectral, and imaging capabilities." Nanotechnology and Precision Engineering 5, no. 4 (2022): 045002. http://dx.doi.org/10.1063/10.0015301.

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As the gold-standard method for single-cell analysis, flow cytometry enables high-throughput and multiple-parameter characterization of individual biological cells. This review highlights the demands for clinical flow cytometry in laboratory hematology (e.g., diagnoses of minimal residual disease and various types of leukemia), summarizes state-of-the-art clinical flow cytometers (e.g., FACSLyricTM by Becton Dickinson, DxFLEX by Beckman Coulter), then considers innovative technical improvements in flow cytometry (including quantitative, spectral, and imaging approaches) to address the limitati
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Aru, Basak, and Gulderen Yanikkaya Demirel. "Flow Cytometry: A Versatile and Powerful Tool for Drug Discovery and Development." Pharmedicine Journal 1, no. 1 (2024): 1–19. http://dx.doi.org/10.62482/pmj.5.

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Flow cytometry, a pivotal tool in clinical and research labs since the discovery of cell markers in the mid-1970s, plays a crucial role across all phases of drug discovery. Modern flow cytometers can detect rare cell types relevant to disease pathogenesis, measure numerous parameters simultaneously, thus, offer versatility in drug screening. In drug discovery studies, flow cytometry contributes to the assessment of drug pharmacokinetics, pharmacodynamics and safety in animal models and clinical trials. It can also be used to monitor drug efficacy and identify biomarkers for diagnosis and progn
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Davies, Ainsley R., Harpreet Vohra, Michael Devoy, et al. "Determining lymphocyte subsets using spectral flow cytometry." Pathology 56 (February 2024): S29. http://dx.doi.org/10.1016/j.pathol.2023.12.107.

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Astakhova, E. A., A. S. Gubaeva, D. A. Naumova, et al. "Spectral Flow Cytometry: The Current State and Future of the Technology." International Journal of Molecular Sciences 26, no. 12 (2025): 5911. https://doi.org/10.3390/ijms26125911.

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Flow cytometry is a powerful and widely used tool for the analysis of various cell populations, but its capabilities are severely limited by the need to apply correction of fluorescent signals from near or similar fluorochromes when analyzing multicolor panels. Spectral flow cytometry extends the capabilities of classical cytometry by reading the full fluorescence spectrum of fluorophores and their subsequent spectral separation. This significantly increases the number of markers analyzed in a single panel and thus allows for more in-depth studies of cell populations. In the age of big data an
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Rodijnen, Nickolaas Maria van, Math Pieters, Sjack Hoop, and Marius Nap. "Data-Driven Compensation for Flow Cytometry of Solid Tissues." Advances in Bioinformatics 2011 (September 6, 2011): 1–11. http://dx.doi.org/10.1155/2011/184731.

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Propidium Iodide is a fluorochrome that is used to measure the DNA content of individual cells, taken from solid tissues, with a flow cytometer. Compensation for spectral cross-over of this fluorochrome still leads to compensation results that are depending on operator experience. We present a data-driven compensation (DDC) algorithm that is designed to automatically compensate combined DNA phenotype flow cytometry acquisitions. The generated compensation values of the DDC algorithm are validated by comparison with manually determined compensation values. The results show that (1) compensation
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Metzger, Philipp, Muriel Malaisé, Cynthia Obodozie, and Holger Weber. "Abstract 629: Benefit of using a spectral flow analyzer for the analysis of immune cell populations in tumors." Cancer Research 82, no. 12_Supplement (2022): 629. http://dx.doi.org/10.1158/1538-7445.am2022-629.

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Abstract Flow cytometry is a widely applied approach for exploratory immune profiling and enables the identification of individual cells in a cell population, such as a tumor cell suspension, by staining cell markers with antibodies conjugated with a fluorophore. The markers allow for the differentiation of a large variety of immune cell populations, their change in frequency, and activation status upon treatment. Conventional flow cytometers, which use bandpass filters and need conventional compensation matrices, are limited by the number of parameters that can be simultaneously analyzed, res
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García-Aguilera, Gonzalo, Ana Castillo-Robleda, Alejandro Sanz, and Manuel Ramírez. "Validation of a Spectral Flow Cytometry Single-Tube Panel for the Clinical Diagnosis and Follow-Up of Children and Adolescents with B-Cell Acute Lymphoblastic Leukemia." Cells 13, no. 22 (2024): 1891. http://dx.doi.org/10.3390/cells13221891.

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The ability of flow cytometry to identify and quantify the presence of cell populations defined by their expression profile of specific markers has made this technique a powerful and routinary tool in clinical diagnostic practice. Specifically in the field of hematological malignancies, flow cytometry allows the identification of the correct type and lineage of each patient’s disease and also sensitively quantifies the presence of the disease at precise moments during treatment, that is, levels of measurable residual disease (MRD). The quantification of MRD by flow cytometry has allowed the ad
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Dissertations / Theses on the topic "Spectral Flow Cytometry"

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Zhu, Lailai. "Simulation of individual cells in flow." Doctoral thesis, KTH, Stabilitet, Transition, Kontroll, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142557.

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In this thesis, simulations are performed to study the motion ofindividual cells in flow, focusing on the hydrodynamics of actively swimming cells likethe self-propelling microorganisms, and of passively advected objects like the red bloodcells. In particular, we develop numerical tools to address the locomotion ofmicroswimmers in viscoelastic fluids and complex geometries, as well as the motion ofdeformable capsules in micro-fluidic flows. For the active movement, the squirmer is used as our model microswimmer. The finiteelement method is employed to study the influence of the viscoelasticity
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Camp, Charles Henry Jr. "Label-free flow cytometry using multiplex coherent anti-Stokes Raman scattering (MCARS) spectroscopy." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42733.

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Over the last 50 years, flow cytometry has evolved from a modest cell counter into an invaluable analytical tool that measures an ever-expanding variety of phenotypes. Flow cytometers interrogate passing samples with laser light and measure the elastically scattered photons to ascertain information about sample size, granularity, and basic morphology. Obtaining molecular information, however, requires the addition of exogenous fluorescent labels. These labels, although a power tool, have numerous challenges and limitations such as large emission spectra and cellular toxicity. To move beyond fl
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Owen, Katy. "Flow cytometric investigation of the size spectrum of North Sea phytoplankton communities." Thesis, University of East Anglia, 2014. https://ueaeprints.uea.ac.uk/48779/.

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Marine biogeochemical processes are closely linked to phytoplankton community assemblages. Cell abundance and biomass are a measure of the successful conversion of inorganic to organic carbon. Carbon estimates are therefore often used to analyse metabolism and energy transfers within marine environments, and carbon is frequently the main parameter used in ecosystem models. Phytoplankton can be divided into functional types based on cell size: microplankton (<200 μm), nanoplankton (2-20 μm) and picoplankton (≤ 3 μm). Differences in cell volume govern variations in carbon content, nutrient uptak
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Books on the topic "Spectral Flow Cytometry"

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Sklar, Larry A., ed. Flow Cytometry for Biotechnology. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195183146.001.0001.

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Flow cytometry is a sensitive and quantitative platform for the measurement of particle fluorescence. In flow cytometry, the particles in a sample flow in single file through a focused laser beam at rates of hundreds to thousands of particles per second. During the time each particle is in the laser beam, on the order of ten microseconds, one or more fluorescent dyes associated with that particle are excited. The fluorescence emitted from each particle is collected through a microscope objective, spectrally filtered, and detected with photomultiplier tubes. Flow cytometry is uniquely capable o
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Ligler, Frances S., and Jason S. Kim. Microflow Cytometer. Jenny Stanford Publishing, 2019.

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The Microflow Cytometer. Pan Stanford Publishing, 2010.

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Book chapters on the topic "Spectral Flow Cytometry"

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Vorobjev, Ivan A., Aigul Kussanova, and Natasha S. Barteneva. "Development of Spectral Imaging Cytometry." In Methods in Molecular Biology. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3020-4_1.

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AbstractSpectral flow cytometry is a new technology that enables measurements of fluorescent spectra and light scattering properties in diverse cellular populations with high precision. Modern instruments allow simultaneous determination of up to 40+ fluorescent dyes with heavily overlapping emission spectra, discrimination of autofluorescent signals in the stained specimens, and detailed analysis of diverse autofluorescence of different cells—from mammalian to chlorophyll-containing cells like cyanobacteria. In this paper, we review the history, compare modern conventional and spectral flow c
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Jyoti, Divya, Nidhi Bhardwaj, Neetika Kimta, et al. "Flow Cytometry: Revolutionizing Cellular Analysis in Spectral and Microfluidic Dimensions." In Flow Cytometry. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-4553-1_7.

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Telford, William G. "Laser Sources for Traditional and Spectral Flow Cytometry." In Flow Cytometry Protocols. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3738-8_3.

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Lloyd, David. "Appendix: Spectral Characteristics of Some Fluorescent Dyes and Excitation Sources." In Flow Cytometry in Microbiology. Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-2017-9_14.

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Barteneva, Natasha S., Aigul Kussanova, Veronika Dashkova, Ayagoz Meirkhanova, and Ivan A. Vorobjev. "Using Virtual Filtering Approach to Discriminate Microalgae by Spectral Flow Cytometer." In Methods in Molecular Biology. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3020-4_2.

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AbstractFluorescence methods are widely used for the study of marine and freshwater phytoplankton communities. However, the identification of different microalgae populations by the analysis of autofluorescence signals remains a challenge. Addressing the issue, we developed a novel approach using the flexibility of spectral flow cytometry analysis (SFC) and generating a matrix of virtual filters (VF) which allowed thorough examination of autofluorescence spectra. Using this matrix, different spectral emission regions of algae species were analyzed, and five major algal taxa were discriminated.
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Dashkova, Veronika, Jeff Clapper, Ivan A. Vorobjev, and Natasha S. Barteneva. "Spectral and Imaging Flow Cytometry in Phytoplankton Research." In Cellular Heterogeneity. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7680-5_5.

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Kong, Wan Ting, Mathilde Bied, and Florent Ginhoux. "Spectral Flow Cytometry Analysis of Resident Tissue Macrophages." In Methods in Molecular Biology. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3437-0_18.

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Gibson, Anton, Thaize Q. Chometon, Tanvi Damani, and Anna E. S. Brooks. "Deep Immunophenotyping in ME/CFS Using Spectral Flow Cytometry." In Methods in Molecular Biology. Springer US, 2025. https://doi.org/10.1007/978-1-0716-4498-0_5.

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Ferrer-Font, Laura, Sam J. Small, Evelyn Hyde, Katherine R. Pilkington, and Kylie M. Price. "Panel Design and Optimization for Full Spectrum Flow Cytometry." In Flow Cytometry Protocols. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3738-8_6.

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Steinberg, C. E. W., H. Schäfer, J. Tittel, and W. Beisker. "Phytoplankton Composition and Biomass Spectra Created by Flow Cytometry and Zooplankton Composition in Mining Lakes of Different States of Acidification." In Acidic Mining Lakes. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-71954-7_7.

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Conference papers on the topic "Spectral Flow Cytometry"

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McMahon, Gillian, Kristen Wilding, Claire K. Sanders, Paul W. Fenimore, Douglas J. Perkins, and Judith R. Mourant. "Proof of concept for microfluidic spectral flow cytometry." In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI, edited by Attila Tarnok, Jessica P. Houston, and Xuantao Su. SPIE, 2023. http://dx.doi.org/10.1117/12.2653140.

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Bitton, Aric C., Jessica P. Houston, and Kevin D. Houston. "Spectral Flow Cytometry to Distinguish Tamoxifen Resistant Breast Cancer Cells." In CLEO: Applications and Technology. OSA, 2020. http://dx.doi.org/10.1364/cleo_at.2020.jw2a.6.

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Potasek, M., E. Parilov, and K. Beeson. "Predicting errors from spectral overlap in multi-probe and multi-laser flow cytometry." In SPIE BiOS, edited by Samuel Achilefu and Ramesh Raghavachari. SPIE, 2013. http://dx.doi.org/10.1117/12.2003179.

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Braun, Mitchell W., John E. Mullinax, Amy M. Hall, Matthew Beaty, and Shari Pilon-Thomas. "916 Utilizing spectral flow cytometry for deep memory phenotyping of tumor infiltrating lymphocyte products." In SITC 39th Annual Meeting (SITC 2024) Abstracts. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/jitc-2024-sitc2024.0916.

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Borst, AL, MM van Noesel, JJ Molenaar, and J. Wienke. "P02.02 Spectral flow cytometry reveals immune regulation of detailed lymphocyte and myeloid populations in neuroblastoma." In iTOC10 - 10th Immunotherapy of Cancer Conference, March 21 – 23, 2024 – Munich, Germany. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/jitc-2024-itoc10.22.

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Yarzabek, Brogan, Stacey Roys, Anita J. Zaitouna, et al. "60 Assessing infiltrating lymphoid activation state in human samples via a new 30-color spectral flow cytometry panel." In SITC 39th Annual Meeting (SITC 2024) Abstracts. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/jitc-2024-sitc2024.0060.

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Orlov, M., Z. Franklin, M. Mitchem, et al. "Spectral Flow Cytometry Can Be Used for Accurate Identification of Immune Cell Subsets in BAL of Critically Ill Patients." In American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA. American Thoracic Society, 2022. http://dx.doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a2610.

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Kim, Yeaseul, Uksha Saini, Doyeon Kim, et al. "999 Oncolytic virotherapy-mediated intratumoral IL-12 and its impact on immune cell function: insights from spectral flow cytometry." In SITC 39th Annual Meeting (SITC 2024) Abstracts. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/jitc-2024-sitc2024.0999.

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Steinkamp, John A. "Phase-Sensitive Flow Cytometry: New Technology For Analyzing Biochemical, Functional, and Structural Features in Fluorochrome-Labeled Cells/Particles." In Laser Applications to Chemical Analysis. Optica Publishing Group, 1994. http://dx.doi.org/10.1364/laca.1994.thc.2.

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Flow cytometry (FCM) instruments rapidly measure biochemical, functional, and cytological properties of individual cells and macromolecular components, e.g., chromosomes, for clinical diagnostic medicine and biomedical and environmental research applications. These measurements are based on labeling cells with multiple fluorochromes for correlated analysis of macromolecules, such as, DNA, RNA, protein, and cell-surface receptors. In addition to utilizing the spectral emission properties of fluorescent markers, i.e., different colors/intensities, to measure specific cellular features, the excit
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Zhou, Zoey, Andrew McDavid, Kurt Van Gunst, et al. "1251 Pairing high-parameter spectral flow cytometry with CITE-seq using a novel automated artificial intelligence-based analysis platform to characterize immunophenotypes and cell states." In SITC 39th Annual Meeting (SITC 2024) Abstracts. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/jitc-2024-sitc2024.1251.

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