ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2022
Unlocking autofluorescence in the era of full spectrum analysis: Implications for immunophenotype discovery projects.
Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Illuminating Immunity: A Systematic Review of Immune Cell Autofluorescence.Journal of biophotonics · 2025Pooled it
- Autofluorescence profiles define depot-specific adipocyte phenotypes in perivascular and non-perivascular adipose tissue.Adipocyte · 2026Article
- Beyond the Limits: How Is Spectral Flow Cytometry Reshaping the Clinical Landscape and What Is Coming Next?Cells · 2025Review
- Spectral Flow Cytometry: The Current State and Future of the Technology.International journal of molecular sciences · 2025Review
- Maximizing Insights, Minimizing Animal Testing: A Framework for Validating Multiparametric Single-Cell Cytokine Analysis Panels.European journal of immunology · 2025Article
- Multispectral autofluorescence for label free classification of immune cell type and activation/polarization status.Scandinavian journal of immunology · 2025Article
- Dissecting immunophenotypic diversity in multiple myeloma via mass cytometry: a call for harmonized gating strategies.Frontiers in immunology · 2025Review
- Spectral Algal Fingerprinting and Long Sequencing in Synthetic Algal-Microbial Communities.Cells · 2024Article
- Panel Design and Optimization for Full Spectrum Flow Cytometry.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Spatial immune composition of tumor microenvironment in patients with pancreatic cancer.Cancer immunology, immunotherapy : CII · 2023Article
- OMIP-095: 40-Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023Article
- Unraveling the potential of 3D bioprinted immunomodulatory materials for regulating macrophage polarization: State-of-the-art in bone and associated tissue regeneration.Bioactive materials · 2023Review
- Label-free macrophage phenotype classification using machine learning methods.Scientific reports · 2023Article
- 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
Corrections and comments
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Authors and funding
11 authors at 1 institution in 2 countries.
Funding
Abstract
Understanding the complex elements affecting signal resolution in cytometry is key for quality experimental design and data. In this study, we incorporate autofluorescence as a contributing factor to our understanding of resolution in cytometry and corroborate its impact in fluorescence signal detection through mathematical predictions supported by empirical evidence. Our findings illustrate the critical importance of autofluorescence extraction via full spectrum unmixing in unmasking dim signals and delineating the expression and subset distribution of low abundance markers in discovery projects. We apply our findings to the precise definition of the tissue and cellular distribution of a weakly expressed fluorescent protein that reports on a low-abundance immunological gene. Exploiting the full spectrum coverage enabled by Aurora 5L, we describe a novel approach to the isolation of pure cell subset-specific autofluorescence profiles based on high dimensionality reduction algorithms. This method can also be used to unveil differences in the autofluorescent fingerprints of tissues in homeostasis and after immunological challenges.
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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.