ArticlePloS one2016
Spectral Cytometry Has Unique Properties Allowing Multicolor Analysis of Cell Suspensions Isolated from Solid Tissues.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Navigating the Landscape of Cytometry-Based Single-Cell Proteomics: Quantification, Annotation, and Resources.International journal of molecular sciences · 2026Review
- Nuclear Histone 3 Post-Translational Modification Profiling in Whole Cells using Spectral Flow Cytometry.bioRxiv : the preprint server for biology · 2026Article
- Immunophenotyping, activation, and expansion of gamma delta T cells: flow cytometry profiling andFrontiers in immunology · 2026Review
- FACS-Based Assessment of Human Hematopoietic Stem and Progenitor Cells.International journal of molecular sciences · 2025Review
- Beyond 40 fluorescent probes for deep phenotyping of blood mononuclear cells, using spectral technology.Frontiers in immunology · 2024Article
- Multiparameter Flow Cytometry Monitoring of T Cell Responses.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Development of a customizable mouse backbone spectral flow cytometry panel to delineate immune cell populations in normal and tumor tissues.Frontiers in immunology · 2024Article
- Color-scalable flow cytometry with Raman tags.PNAS nexus · 2023Article
- Development of Spectral Imaging Cytometry.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Identification of fetal liver stroma in spectral cytometry using the parameter autofluorescence.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022Article
- Unlocking autofluorescence in the era of full spectrum analysis: Implications for immunophenotype discovery projects.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022Article
- Full spectrum flow cytometry and mass cytometry: A 32-marker panel comparison.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022Article
- Autofluorescence identifies highly phagocytic tissue-resident macrophages in mouse and human skin and cutaneous squamous cell carcinoma.Frontiers in immunology · 2022Article
- High-Dimensional Immunophenotyping with 37-Color Panel Using Full-Spectrum Cytometry.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Monobac System-A Single Baculovirus for the Production of rAAV.Microorganisms · 2021Article
- The Evolution of Single-Cell Analysis and Utility in Drug Development.The AAPS journal · 2021Review
- AutoSpill is a principled framework that simplifies the analysis of multichromatic flow cytometry data.Nature communications · 2021Article
- Harnessing Single-Cell RNA Sequencing to Better Understand How Diseased Cells Behave the Way They Do in Cardiovascular Disease.Arteriosclerosis, thrombosis, and vascular biology · 2021Review
- SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.Journal for immunotherapy of cancer · 2020Article
- GigaSOM.jl: High-performance clustering and visualization of huge cytometry datasets.GigaScience · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Flow cytometry, initially developed to analyze surface protein expression in hematopoietic cells, has increased in analytical complexity and is now widely used to identify cells from different tissues and organisms. As a consequence, data analysis became increasingly difficult due the need of large multi-parametric compensation matrices and to the eventual auto-fluorescence frequently found in cell suspensions obtained from solid organs. In contrast with conventional flow cytometry that detects the emission peak of fluorochromes, spectral flow cytometry distinguishes the shapes of emission spectra along a large range of continuous wave lengths. The data is analyzed with an algorithm that replaces compensation matrices and treats auto-fluorescence as an independent parameter. Thus, spectral flow cytometry should be capable to discriminate fluorochromes with similar emission peaks and provide multi-parametric analysis without compensation requirements. Here we show that spectral flow cytometry achieves a 21-parametric (19 fluorescent probes) characterization and deals with auto-fluorescent cells, providing high resolution of specifically fluorescence-labeled populations. Our results showed that spectral flow cytometry has advantages in the analysis of cell populations of tissues difficult to characterize in conventional flow cytometry, such as heart and intestine. Spectral flow cytometry thus combines the multi-parametric analytical capacity of the highest performing conventional flow cytometry without the requirement for compensation and enabling auto-fluorescence management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.