Cytometry Part A

Papers
(The TQCC of Cytometry Part A is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
OMIP‐069: Forty‐Color Full Spectrum Flow Cytometry Panel for Deep Immunophenotyping of Major Cell Subsets in Human Peripheral Blood188
Lymphocyte Subset Counts in COVID‐19 Patients: A Meta‐Analysis175
Dengue Fever, COVID‐19 (SARS‐CoV‐2), and Antibody‐Dependent Enhancement (ADE): A Perspective84
Little to no expression of angiotensin‐converting enzyme‐2 on most human peripheral blood immune cells but highly expressed on tissue macrophages80
Integration, exploration, and analysis of high‐dimensional single‐cell cytometry data using Spectre78
Decrease of Non‐Classical and Intermediate Monocyte Subsets in Severe Acute SARS‐CoV‐2 Infection75
Monocyte HLA‐DR Measurement by Flow Cytometry in COVID‐19 Patients: An Interim Review59
Evaluation of Exosome Proteins by on‐Bead Flow Cytometry50
Current trends in flow cytometry automated data analysis software50
Evaluating spectral cytometry for immune profiling in viral disease50
Real‐Time Stain‐Free Classification of Cancer Cells and Blood Cells Using Interferometric Phase Microscopy and Machine Learning46
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 sp42
Fluorescence and Light Scatter Calibration Allow Comparisons of Small Particle Data in Standard Units across Different Flow Cytometry Platforms and Detector Settings39
Application‐based guidelines for best practices in plant flow cytometry33
Refractive Index Changes of Cells and Cellular Compartments Upon Paraformaldehyde Fixation Acquired by Tomographic Phase Microscopy33
Hematologist‐Level Classification of Mature B‐Cell Neoplasm Using Deep Learning on Multiparameter Flow Cytometry Data32
Reference standards for flow cytometric estimation of absolute nuclear DNA content in plants31
High‐Resolution Imaging Flow Cytometry Reveals Impact of Incubation Temperature on Labeling of Extracellular Vesicles with Antibodies31
The evolution of spectral flow cytometry28
High‐Dimensional Data Analysis Algorithms Yield Comparable Results for Mass Cytometry and Spectral Flow Cytometry Data28
OMIP063: 28‐Color Flow Cytometry Panel for Broad Human Immunophenotyping26
Handling and Processing of Blood Specimens from Patients with COVID‐19 for Safe Studies on Cell Phenotype and Cytokine Storm26
Evaluation of Caspase‐3 Activity During Apoptosis with Fluorescence Lifetime‐Based Cytometry Measurements and Phasor Analyses25
The Challenge of Distinguishing Cell–Cell Complexes from Singlet Cells in Non‐Imaging Flow Cytometry and Single‐Cell Sorting25
Comprehensive Phenotyping of Human Dendritic Cells and Monocytes25
A streamlined whole blood CyTOF workflow defines a circulating immune cell signature of COVID‐1924
CD169 and CD64 could help differentiate bacterial from CoVID‐19 or other viral infections in the Emergency Department24
PeacoQC: Peak‐based selection of high quality cytometry data23
MIRIAM: A machine and deep learning single‐cell segmentation and quantification pipeline for multi‐dimensional tissue images21
Deep learning based digital cell profiles for risk stratification of urine cytology images21
Isolation of plant nuclei for estimation of nuclear DNA content: Overview and best practices19
Full spectrum flow cytometry and mass cytometry: A 32‐marker panel comparison19
OMIP 071: A 31‐Parameter Flow Cytometry Panel for In‐Depth Immunophenotyping of Human T‐Cell Subsets Using Surface Markers19
Chromosome analysis and sorting18
Improved Flow Cytometric Light Scatter Detection of Submicron‐Sized Particles by Reduction of Optical Background Signals18
Comprehensive phenotyping of human peripheral blood B lymphocytes in healthy conditions17
MIFlowCyt‐EV: The Next Chapter in the Reporting and Reliability of Single Extracellular Vesicle Flow Cytometry Experiments17
A Cancer Biologist's Primer on Machine Learning Applications in High‐Dimensional Cytometry17
Semi‐automated background removal limits data loss and normalizes imaging mass cytometry data17
Computational flow cytometry as a diagnostic tool in suspected‐myelodysplastic syndromes16
OMIP‐079: Cell cycle of CD4+ and CD8+ naïve/memory T cell subsets, and of Treg cells from mouse spleen16
Best practices in plant cytometry15
Deep learning‐enabled imaging flow cytometry for high‐speedCryptosporidium and Giardia detection14
Fluorescence activated cell sorting—A selective tool for plant cell isolation and analysis14
Flow cytometric analysis of pollen and spores: An overview of applications and methodology14
In Situ Classification of Cell Types in Human Kidney Tissue Using 3D Nuclear Staining13
Sheath fluid impacts the depletion of cellular metabolites in cells afflicted by sorting induced cellular stress (SICS)13
Image‐Based Cell Profiling Enables Quantitative Tissue Microscopy in Gastroenterology13
Flow Cytometric Monitoring of Dynamic Cytosolic Calcium, Sodium, and Potassium Fluxes Following Platelet Activation12
A microfluidic cytometer for white blood cell analysis12
OMIP‐064: A 27‐Color Flow Cytometry Panel to Detect and Characterize Human NK Cells and Other Innate Lymphoid Cell Subsets, MAIT Cells, and γδ T Cells12
Unlocking autofluorescence in the era of full spectrum analysis: Implications for immunophenotype discovery projects12
The Coulter Principle: A history12
A Deep Learning Pipeline for Nucleus Segmentation12
Recent Developments in the Application of Flow Cytometry to Advance our Understanding of Mycobacteriumtuberculosis Physiology and Pathogenesis12
OMIP‐068: High‐Dimensional Characterization of Global and Antigen‐Specific B Cells in Chronic Infection12
Imaging Flow Cytometry for Phylogenetic and MorphologicallyBased Functional Group Clustering of a Natural Phytoplankton Community over 1 Year in an Urban Pond12
Morphology, Motility, and Cytoskeletal Architecture of Breast Cancer Cells Depend on Keratin 19 and Substrate11
OMIP 083: A 21‐marker 18‐color flow cytometry panel for in‐depth phenotyping of human peripheral monocytes11
Platelet mass cytometry: Optimization of sample, reagent, and analysis parameters11
Characterization of Chicken Leukocyte Subsets from Lymphatic Tissue by Flow Cytometry11
Phenotypic Analysis of the Mouse Hematopoietic Hierarchy Using Spectral Cytometry: From Stem Cell Subsets to Early Progenitor Compartments11
Monocyte CD169 expression in COVID‐19 patients upon intensive care unit admission11
Identification of fetal liver stroma in spectral cytometry using the parameter autofluorescence11
Assessment of chilling injury in hypothermic stored boar spermatozoa by multicolor flow cytometry11
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Sheathless microflow cytometer utilizing two bulk standing acoustic waves10
OMIP‐067: 28‐Color Flow Cytometry Panel to Evaluate Human T‐Cell Phenotype and Function10
OMIP 078: A 31‐parameter panel for comprehensive immunophenotyping of multiple immune cells in human peripheral blood mononuclear cells10
A comparison of spectral unmixing to conventional compensation for the calculation of fluorochrome abundances from flow cytometric data10
Imaging Flow Cytometry Analysis of CEACAM Binding to Opa‐Expressing Neisseria gonorrhoeae10
Plant material selection, collection, preservation, and storage for nuclear DNA content estimation10
Best practices in the flow cytometry of microalgae10
flowCut: An R package for automated removal of outlier events and flagging of files based on time versus fluorescence analysis10
Simplified Instrument Calibration for Wide‐Field Fluorescence Resonance Energy Transfer (FRET) Measured by the Sensitized Emission Method10
Acoustophoresis Enables the Label‐Free Separation of Functionally Different Subsets of Cultured Bone Marrow Stromal Cells10
Ab initio spillover compensation in mass cytometry data9
A human receptor occupancy assay to measure anti‐PD‐1 binding in patients with prior anti‐PD‐19
Single cell multiomic analysis of T cell exhaustion in vitro9
Coregistered Spectral Optical Coherence Tomography and Two‐Photon Microscopy for Multimodal Near‐Instantaneous Deep‐Tissue Imaging9
Monitoring anti‐CD19 chimeric antigen receptor T cell population by flow cytometry and its consistency with digital droplet polymerase chain reaction9
CD56, HLA‐DR, and CD45 recognize a subtype of childhood AML harboring CBFA2T3‐GLIS2 fusion transcript9
A Paradigm Shift in Nuclear Chromatin Interpretation: From Qualitative Intuitive Recognition to Quantitative Texture Analysis of Breast Cancer Cell Nuclei9
Multiparameter Flow Cytometry Assay for Analysis of Nitrosative Stress Status in Human Spermatozoa9
Insights in Chloroquine Action: Perspectives and Implications in Malaria and COVID‐199
Improvements in Flow Cytometry‐Based Cytotoxicity Assay9
Sustained cellular immunity in adults recovered from mild COVID‐199
High‐Throughput Image Cytometry Detection Method for CAR‐T Transduction, Cell Proliferation, and Cytotoxicity Assays8
OMIP 075: A 22‐color panel for the measurement of antigen‐specific T‐cell responses in human and nonhuman primates8
Analytical performance of a 25‐marker spectral cytometry immune monitoring assay in peripheral blood8
Comprehensive Phenotyping of Peripheral Blood T Lymphocytes in Healthy Mice8
OMIP‐065: Dog Immunophenotyping and T‐Cell Activity Evaluation with a 14‐Color Panel8
Single cell capture, isolation, and long‐term in‐situ imaging using quantitative self‐interference spectroscopy8
TITAN: An end‐to‐end data analysis environment for the Hyperion™ imaging system8
Coupling Microscopy and Flow Cytometry for a Comprehensive Characterization of Nanoparticle Production in Insect Cells8
Identification of critical hemodilution by artificial intelligence in bone marrow assessed for minimal residual disease analysis in acute myeloid leukemia: The Cinderella method8
DebarcodeR increases fluorescent cell barcoding capacity and accuracy8
Impact of age and gender on lymphocyte subset counts in patients with COVID‐198
Data File Standard for Flow Cytometry, Version FCS 3.28
Machine learning for cell classification and neighborhood analysis in glioma tissue8
Erythrocyte lysis and angle‐resolved light scattering measured by scanning flow cytometry result to 48 indices quantifying a gas exchange function of the human organism8
Sheathless acoustic based flow cell sorter for enrichment of rare cells7
OMIP‐066: Identification of Novel Subpopulations of Human Group 2 Innate Lymphoid Cells in Peripheral Blood7
OMIP‐084: 28‐color full spectrum flow cytometry panel for the comprehensive analysis of human γδ T cells7
Full spectrum cytometry improves the resolution of highly autofluorescent biological samples: Identification of myeloid cells in regenerating skeletal muscles7
Recent progress in plasmonic nanoparticle‐based biomarker detection and cytometry for the study of central nervous system disorders7
Status and Potential of Single‐Cell Transcriptomics for Understanding Plant Development and Functional Biology7
Attention Mask R‐CNN with edge refinement algorithm for identifying circulating genetically abnormal cells7
Comprehensive phenotyping of endothelial cells using flow cytometry 2: Human7
Comprehensive phenotyping of peripheral blood monocytes in healthy bovine7
A Joint Action in Times of Pandemic: The German BioImaging Recommendations for Operating Imaging Core Facilities During the SARS‐Cov‐2 Emergency7
Alternative methods of viability determination in single cell mass cytometry7
Inherent bioelectrical parameters of hundreds of thousands of single leukocytes based on impedance flow cytometry7
Detecting Förster resonance energy transfer in living cells by conventional and spectral flow cytometry7
Light scattering pattern specific convolutional network static cytometry for label‐free classification of cervical cells7
Comprehensive phenotyping of human platelets by single‐cell cytometry7
Supervised machine learning in microfluidic impedance flow cytometry for improved particle size determination7
Optical section structured illumination‐based Förster resonance energy transfer imaging7
Development of a 27‐color panel for the detection of measurable residual disease in patients diagnosed with acute myeloid leukemia6
Long‐term effects of Pfizer‐BioNTech COVID‐19 vaccinations on platelets6
Morphology analysis of unlabeled red blood cells based on quantitative differential phase contrast microscopy6
Procedures for Flow Cytometry‐Based Sorting of Unfixed Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) Infected Cells and Other Infectious Agents6
OMIP‐080: 29‐Color flow cytometry panel for comprehensive evaluation of NK and T cells reconstitution after hematopoietic stem cells transplantation6
How to Prevent yourself from Seeing Double6
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High‐content video flow cytometry with digital cell filtering for label‐free cell classification by machine learning6
Mesenchymal stem cell‐glioblastoma interactions mediated via kinin receptors unveiled by cytometry6
Spatial analysis for highly multiplexed imaging data to identify tissue microenvironments6
Mass‐tag barcoding for multiplexed analysis of human synaptosomes and other anuclear events6
Simultaneous analysis of antigen‐specific B and T cells after SARS‐CoV‐2 infection and vaccination6
Kinetics of activation marker expression after in vitro polyclonal stimulation of chicken peripheral T cells6
Toward five‐part differential of leukocytes based on electrical impedances of single cells and neural network6
Novel PE and APC tandems: Additional near‐infrared fluorochromes for use in spectral flow cytometry6
Comprehensive Phenotyping of Dendritic Cells in Cancer Patients by Flow Cytometry6
Advance of microfluidic constriction channel system of measuring single‐cell cortical tension/specific capacitance of membrane and conductivity of cytoplasm6
Transformation of multicolour flow cytometry data with OTflow prevents misleading multivariate analysis results and incorrect immunological conclusions6
Evaluating the Cytometric Detection and Enumeration of the Wine Bacterium, Oenococcus oeni6
Classification of tumor subtypes leveraging constriction‐channel based impedance flow cytometry and optical imaging5
Addressing HIV‐1 latency with Flow‐FISH: Finding, characterizing and targeting HIV‐1 infected cells5
Sperm‐cell DNA fragmentation prediction using label‐free quantitative phase imaging and deep learning5
Measuring calibration factors by imaging a dish of cells expressing different tandem constructs plasmids5
Aiming to Compare Apples to Apples: Analysis of Extracellular Vesicles and Other Nanosized Particles by Flow Cytometry5
Practical application of microsphere samples for benchmarking a quantitative phase imaging system5
An efficient and cost‐effective method for the purification of human basophils5
Celebrating 10 Years of OMIPs5
Quantification of Light Scattering Detection Efficiency and Background in Flow Cytometry5
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Reliable identification and quantification of neural cells in microscopic images of neurospheres5
Inherent single‐cell bioelectrical parameters of thousands of neutrophils, eosinophils and basophils derived from impedance flow cytometry5
Innovative fluorescent probes for in vivo visualization of biomolecules in living Caenorhabditis elegans5
Biosafety during a pandemic: shared resource laboratories rise to the challenge5
Using Cytometry for Investigation of Purinergic Signaling in Tumor‐Associated Macrophages5
Intelligent image‐activated sorting of Chlamydomonas reinhardtii by mitochondrial localization5
Identification of rare cell populations in autofluorescence lifetime image data5
Comprehensive phenotyping of endothelial cells using flow cytometry 1: Murine5
Real‐time monitoring of single circulating tumor cells with a fluorescently labeled deoxy‐glucose by in vivo flow cytometry5
On Its Way to Primetime: Artificial Intelligence in Flow Cytometry Diagnostics4
Rac1/pSTAT3 expression: A pharmacodynamic marker panel as a first step toward optimization of thiopurine therapy in inflammatory bowel disease patients4
The use of flow cytometry for fungal nuclear DNA quantification4
Simple Field Storage of Fish Samples for Measurement of DNA Content by Flow Cytometry4
Cells infected with human papilloma pseudovirus display nuclear reorganization and heterogenous infection kinetics4
Imaging flow cytometry and fluorescence microscopy in assessing radiation response in lymphocytes from umbilical cord blood and cancer patients4
Upconversion nanoparticle‐assisted single‐molecule assay for detecting circulating antigens of aggressive prostate cancer4
OMIP‐086: Full spectrum flow cytometry for high‐dimensional immunophenotyping of mouse innate lymphoid cells4
In‐depth immunophenotyping reveals significant alteration of lymphocytes in buffalo with brucellosis4
Fast whole‐body motor neuron calcium imaging of freely moving Caenorhabditis elegans without coverslip pressed4
OMIP 073: Analysis of human thymocyte development with a 14‐color flow cytometry panel4
Further comments on the role of ACE‐2 positive macrophages in human lung4
Rapid, label‐free antibiotic susceptibility determined directly from positive blood culture4
Lymph Liquid Biopsy for Detection of Cancer Stem Cells4
Quantum approach for nanoparticle fluorescence by sub‐ns photon detection4
Shared Resource Laboratory Operations: Changes Made During Initial Global COVID‐19 Lockdown of 20204
Quantitative Imaging of B1 Cyclin Expression Across the Cell Cycle Using Green Fluorescent Protein Tagging and Epifluorescence4
40 Years of My Venture with CYTOMETRY4
OMIP‐070: NKp46‐Based 27‐Color Phenotyping to Define Natural Killer Cells Isolated From Human Tumor Tissues4
Gating Harmonization Guidelines for Intracellular Cytokine Staining Validated in Second International Multiconsortia Proficiency Panel Conducted by Cancer Immunotherapy Consortium (CIC/4
Dual DNA staining enables isolation of multiple sub‐types of post‐replicative mouse male germ cells4
Discovering fiber type architecture over the entire muscle using data‐driven analysis4
Comprehensive phenotyping of human peripheral blood B lymphocytes in pathological conditions4
Expanding the use of flow cytometry in semen analysis: The rise of flow spermetry4
In situ imaging for tumor microbiome interactions via imaging mass cytometry on single‐cell level4
OMIP‐93: A 41‐color high parameter panel to characterize various co‐inhibitory molecules and their ligands in the lymphoid and myeloid compartment in mice4
I Am the Alpha and the …Gamma, and the G. Calibration of Intensity‐Based FRET Measurements4
Is there a Pot of Gold at the End of the Spectrum?4
OMIP 076: High‐dimensional immunophenotyping of murine T‐cell, B‐cell, and antibody secreting cell subsets4
Enhanced segmentation of label‐free cells for automated migration and interaction tracking4
In Vivo Flow Cytometric Evaluation of Circulating Metastatic Pancreatic Tumor Cells after High‐Intensity Focused Ultrasound Therapy4
Immunophenotypical profiling of myeloid neoplasms with erythroid predominance using mass cytometry (CyTOF)4
The potential of multispectral imaging flow cytometry for environmental monitoring4
Quantifying colocalization: The case for discarding the Manders overlap coefficient4
Quantitative analysis of endotoxin‐induced inflammation in human lung cells by Chipcytometry4
Translocation of chromatin proteins to nucleoli—The influence of protein dynamics on post‐fixation localization4
Seeing the Confetti Colors in a New Light Utilizing Flow Cytometry and Imaging Flow Cytometry4
Fluorescent energy transfer causing misleading signal in multicolor flow cytometry3
OMIP 082: A 25‐color phenotyping to define human innate lymphoid cells, natural killer cells, mucosal‐associated invariant T cells, and γδ T cells from freshly isolated human intestinal tis3
Development of flow cytometry‐based assays to assess the ability of antibodies to bind to SARS‐CoV‐2‐infected and spike‐transfected cells and mediate NK cell degranulation3
A new open‐source hardware device to measure vertical sperm motility and concentration3
Orchestrating multiplexity in polychromatic science through OMIPs: A decade‐old resource to empower biomedical research3
Quantitative single‐cell optical technologies3
Classification of peripheral blood neutrophils using deep learning3
Quantitative flow cytometry leveraging droplet‐based constriction microchannels with high reliability and high sensitivity3
Bibliometric news and more about signal transduction and disease3
Investigating differences between tamoxifen resistant and sensitive breast cancer cells with flow cytometry3
Risk awareness during operation of analytical flow cytometers and implications throughout the COVID‐19 pandemic3
Deep SED‐Net with interactive learning for multiple testicular cell types segmentation and cell composition analysis in mouse seminiferous tubules3
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Barcoding of live peripheral blood mononuclear cells to assess immune cell phenotypes using full spectrum flow cytometry3
Detecting cells rotations for increasing the robustness of cell sizing by impedance measurements, with or without machine learning3
Recent progress in cytometric technologies and their applications in ecotoxicology and environmental risk assessment3
Diffractive Beam Shaper for Multiwavelength Lasers for Flow Cytometry3
Cross‐platform immunophenotyping of human peripheral blood mononuclear cells with four high‐dimensional flow cytometry panels3
ISAC Probe Tag Dictionary: Standardized Nomenclature for Detection and Visualization Labels Used in Cytometry and Microscopy Imaging3
Development of a novel flow cytometry method for detecting pneumococcal‐specific B cells3
Adapting to the Coronavirus Pandemic: Building and Incorporating a Diagnostic Pipeline in a Shared Resource Laboratory3
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Taking molecular pathology to the next level: Whole slide multicolor confocal imaging with the Pannoramic Confocal digital pathology scanner3
Phenotypic analysis of erythrocytes in sickle cell disease using imaging flow cytometry3
Automated fluorescence gating and size determination reduce variation in measured concentration of extracellular vesicles by flow cytometry3
Behold Cytometrists: One Block Is Not Enough! Cyanine‐Tandems Bind Non‐Specifically to Human Monocytes3
Label‐free classification of dead and live colonic adenocarcinoma cells based on 2D light scattering and deep learning analysis3
Stabilization of Human Whole Blood Samples for Multicenter and Retrospective Immunophenotyping Studies3
OMIP‐090: A 20‐parameter flow cytometry panel for rapid analysis of cell diversity and homing capacity in human conventional and regulatory T cells3
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OMIP 072: A 15‐color panel for immunophenotypic identification, quantification, and characterization of leukemic stem cells in children with acute myeloid leukemia3
Flow cytometric measurement of STAT5 phosphorylation in cytomegalovirus‐stimulated T cells3
In vitro aging of stallion spermatozoa during prolonged storage at 5°C3
Comparison of electrostatic and mechanical cell sorting with limited starting material3
COVID‐19: Using high‐throughput flow cytometry to dissect clinical heterogeneity3
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