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 2020-11-01 to 2024-11-01.)
ArticleCitations
Integration, exploration, and analysis of high‐dimensional single‐cell cytometry data using Spectre95
Little to no expression of angiotensin‐converting enzyme‐2 on most human peripheral blood immune cells but highly expressed on tissue macrophages84
Monocyte HLA‐DR Measurement by Flow Cytometry in COVID‐19 Patients: An Interim Review63
Current trends in flow cytometry automated data analysis software56
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 sp45
Application‐based guidelines for best practices in plant flow cytometry42
The evolution of spectral flow cytometry37
Reference standards for flow cytometric estimation of absolute nuclear DNA content in plants35
Comprehensive Phenotyping of Human Dendritic Cells and Monocytes31
CD169 and CD64 could help differentiate bacterial from CoVID‐19 or other viral infections in the Emergency Department29
PeacoQC: Peak‐based selection of high quality cytometry data29
A streamlined whole blood CyTOF workflow defines a circulating immune cell signature of COVID‐1927
Deep learning based digital cell profiles for risk stratification of urine cytology images26
Semi‐automated background removal limits data loss and normalizes imaging mass cytometry data24
OMIP‐079: Cell cycle of CD4+ and CD8+ naïve/memory T cell subsets, and of Treg cells from mouse spleen24
Full spectrum flow cytometry and mass cytometry: A 32‐marker panel comparison24
MIRIAM: A machine and deep learning single‐cell segmentation and quantification pipeline for multi‐dimensional tissue images23
Comprehensive phenotyping of human peripheral blood B lymphocytes in healthy conditions22
OMIP 071: A 31‐Parameter Flow Cytometry Panel for In‐Depth Immunophenotyping of Human T‐Cell Subsets Using Surface Markers22
Chromosome analysis and sorting20
Isolation of plant nuclei for estimation of nuclear DNA content: Overview and best practices20
Fluorescence activated cell sorting—A selective tool for plant cell isolation and analysis19
Computational flow cytometry as a diagnostic tool in suspected‐myelodysplastic syndromes19
MIFlowCyt‐EV: The Next Chapter in the Reporting and Reliability of Single Extracellular Vesicle Flow Cytometry Experiments17
Deep learning‐enabled imaging flow cytometry for high‐speedCryptosporidium and Giardia detection17
Sheath fluid impacts the depletion of cellular metabolites in cells afflicted by sorting induced cellular stress (SICS)17
Unlocking autofluorescence in the era of full spectrum analysis: Implications for immunophenotype discovery projects17
Best practices in plant cytometry17
AttentionMask R‐CNNwith edge refinement algorithm for identifying circulating genetically abnormal cells16
Monocyte CD169 expression in COVID‐19 patients upon intensive care unit admission15
Flow cytometric analysis of pollen and spores: An overview of applications and methodology15
Identification of fetal liver stroma in spectral cytometry using the parameter autofluorescence15
In Situ Classification of Cell Types in Human Kidney Tissue Using 3D Nuclear Staining14
flowCut: An R package for automated removal of outlier events and flagging of files based on time versus fluorescence analysis14
A comparison of spectral unmixing to conventional compensation for the calculation of fluorochrome abundances from flow cytometric data13
Assessment of chilling injury in hypothermic stored boar spermatozoa by multicolor flow cytometry13
The Coulter Principle: A history13
A Deep Learning Pipeline for Nucleus Segmentation13
A microfluidic cytometer for white blood cell analysis13
OMIP 083: A 21‐marker 18‐color flow cytometry panel for in‐depth phenotyping of human peripheral monocytes12
Single cell multiomic analysis of T cell exhaustion in vitro12
A Paradigm Shift in Nuclear Chromatin Interpretation: From Qualitative Intuitive Recognition to Quantitative Texture Analysis of Breast Cancer Cell Nuclei12
Platelet mass cytometry: Optimization of sample, reagent, and analysis parameters12
OMIP 078: A 31‐parameter panel for comprehensive immunophenotyping of multiple immune cells in human peripheral blood mononuclear cells11
Best practices in the flow cytometry of microalgae11
A human receptor occupancy assay to measure anti‐PD‐1 binding in patients with prior anti‐PD‐111
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Sheathless microflow cytometer utilizing two bulk standing acoustic waves11
Comprehensive Phenotyping of Peripheral Blood T Lymphocytes in Healthy Mice11
Ab initio spillover compensation in mass cytometry data11
OMIP 075: A 22‐color panel for the measurement of antigen‐specific T‐cell responses in human and nonhuman primates10
Erythrocyte lysis and angle‐resolved light scattering measured by scanning flow cytometry result to 48 indices quantifying a gas exchange function of the human organism10
Monitoring anti‐CD19 chimeric antigen receptor T cell population by flow cytometry and its consistency with digital droplet polymerase chain reaction10
Spatial analysis for highly multiplexed imaging data to identify tissue microenvironments10
OMIP‐084: 28‐color full spectrum flow cytometry panel for the comprehensive analysis of human γδ T cells10
CD56, HLA‐DR, and CD45 recognize a subtype of childhood AML harboring CBFA2T3‐GLIS2 fusion transcript10
Comprehensive phenotyping of endothelial cells using flow cytometry 2: Human10
Plant material selection, collection, preservation, and storage for nuclear DNA content estimation10
Mesenchymal stem cell‐glioblastoma interactions mediated via kinin receptors unveiled by cytometry9
Morphology analysis of unlabeled red blood cells based on quantitative differential phase contrast microscopy9
OMIP‐080: 29‐Color flow cytometry panel for comprehensive evaluation of NK and T cells reconstitution after hematopoietic stem cells transplantation9
Identification of critical hemodilution by artificial intelligence in bone marrow assessed for minimal residual disease analysis in acute myeloid leukemia: The Cinderella method9
Single cell capture, isolation, and long‐term in‐situ imaging using quantitative self‐interference spectroscopy9
Detecting Förster resonance energy transfer in living cells by conventional and spectral flow cytometry9
Sustained cellular immunity in adults recovered from mild COVID‐199
Full spectrum cytometry improves the resolution of highly autofluorescent biological samples: Identification of myeloid cells in regenerating skeletal muscles9
Impact of age and gender on lymphocyte subset counts in patients with COVID‐199
Machine learning for cell classification and neighborhood analysis in glioma tissue9
Light scattering pattern specific convolutional network static cytometry for label‐free classification of cervical cells9
Intelligent image‐activated sorting of Chlamydomonas reinhardtii by mitochondrial localization8
OMIP‐93: A 41‐color high parameter panel to characterize various co‐inhibitory molecules and their ligands in the lymphoid and myeloid compartment in mice8
Comprehensive phenotyping of endothelial cells using flow cytometry 1: Murine8
OMIP 076: High‐dimensional immunophenotyping of murine T‐cell, B‐cell, and antibody secreting cell subsets8
DebarcodeR increases fluorescent cell barcoding capacity and accuracy8
High‐content video flow cytometry with digital cell filtering for label‐free cell classification by machine learning8
Inherent bioelectrical parameters of hundreds of thousands of single leukocytes based on impedance flow cytometry8
TITAN: An end‐to‐end data analysis environment for the Hyperion™ imaging system8
OMIP‐095: 40‐Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues8
High‐Throughput Image Cytometry Detection Method for CAR‐T Transduction, Cell Proliferation, and Cytotoxicity Assays8
Alternative methods of viability determination in single cell mass cytometry8
Analytical performance of a 25‐marker spectral cytometry immune monitoring assay in peripheral blood8
Sperm‐cell DNA fragmentation prediction using label‐free quantitative phase imaging and deep learning8
Comprehensive phenotyping of human platelets by single‐cell cytometry8
Recent progress in plasmonic nanoparticle‐based biomarker detection and cytometry for the study of central nervous system disorders7
Long‐term effects of Pfizer‐BioNTech COVID‐19 vaccinations on platelets7
Advance of microfluidic constriction channel system of measuring single‐cell cortical tension/specific capacitance of membrane and conductivity of cytoplasm7
Transformation of multicolour flow cytometry data with OTflow prevents misleading multivariate analysis results and incorrect immunological conclusions7
Kinetics of activation marker expression after in vitro polyclonal stimulation of chicken peripheralT cells7
In situ imaging for tumor microbiome interactions via imaging mass cytometry on single‐cell level7
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Optical section structured illumination‐based Förster resonance energy transfer imaging7
Sheathless acoustic based flow cell sorter for enrichment of rare cells7
Comprehensive phenotyping of peripheral blood monocytes in healthy bovine7
Supervised machine learning in microfluidic impedance flow cytometry for improved particle size determination7
OMIP‐086: Full spectrum flow cytometry for high‐dimensional immunophenotyping of mouse innate lymphoid cells7
Comprehensive Phenotyping of Dendritic Cells in Cancer Patients by Flow Cytometry7
Classification of peripheral blood neutrophils using deep learning7
Standardized high‐dimensional spectral cytometry protocol and panels for whole blood immune phenotyping in clinical and translational studies6
Quantitative analysis of endotoxin‐induced inflammation in human lung cells by Chipcytometry6
Real‐time monitoring of single circulating tumor cells with a fluorescently labeled deoxy‐glucose by in vivo flow cytometry6
Innovative fluorescent probes for in vivo visualization of biomolecules in living Caenorhabditis elegans6
Quantification of Light Scattering Detection Efficiency and Background in Flow Cytometry6
Development of a 27‐color panel for the detection of measurable residual disease in patients diagnosed with acute myeloid leukemia6
Identification of rare cell populations in autofluorescence lifetime image data6
Reliable identification and quantification of neural cells in microscopic images of neurospheres6
Simultaneous analysis of antigen‐specific B and T cells after SARS‐CoV‐2 infection and vaccination6
Evaluating the Cytometric Detection and Enumeration of the Wine Bacterium, Oenococcus oeni6
The use of flow cytometry for fungal nuclear DNA quantification6
Novel PE and APC tandems: Additional near‐infrared fluorochromes for use in spectral flow cytometry6
Mass‐tag barcoding for multiplexed analysis of human synaptosomes and other anuclear events6
Upconversion nanoparticle‐assisted single‐molecule assay for detecting circulating antigens of aggressive prostate cancer6
Biosafety during a pandemic: shared resource laboratories rise to the challenge6
Classification of tumor subtypes leveraging constriction‐channel based impedance flow cytometry and optical imaging6
Toward five‐part differential of leukocytes based on electrical impedances of single cells and neural network6
Label‐free classification of dead and live colonic adenocarcinoma cells based on 2D light scattering and deep learning analysis6
Phenotypic analysis of erythrocytes in sickle cell disease using imaging flow cytometry5
Rapid, label‐free antibiotic susceptibility determined directly from positive blood culture5
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Rac1/pSTAT3 expression: A pharmacodynamic marker panel as a first step toward optimization of thiopurine therapy in inflammatory bowel disease patients5
OMIP‐090: A 20‐parameter flow cytometry panel for rapid analysis of cell diversity and homing capacity in human conventional and regulatory T cells5
Practical application of microsphere samples for benchmarking a quantitative phase imaging system5
The potential of multispectral imaging flow cytometry for environmental monitoring5
Addressing HIV‐1 latency with Flow‐FISH: Finding, characterizing and targeting HIV‐1 infected cells5
OMIP‐088: Twenty‐target imaging mass cytometry panel for major cell populations in mouse formalin fixed paraffin embedded liver5
Barcoding of live peripheral blood mononuclear cells to assess immune cell phenotypes using full spectrum flow cytometry5
Comprehensive phenotyping of human peripheral blood B lymphocytes in pathological conditions5
Simple Field Storage of Fish Samples for Measurement of DNA Content by Flow Cytometry5
A rapid method for the assessment of the vitality of microorganisms using flow cytometry5
Inherent single‐cell bioelectrical parameters of thousands of neutrophils, eosinophils and basophils derived from impedance flow cytometry5
Development of a novel flow cytometry method for detecting pneumococcal‐specific B cells5
OMIP 072: A 15‐color panel for immunophenotypic identification, quantification, and characterization of leukemic stem cells in children with acute myeloid leukemia5
COVID‐19: Using high‐throughput flow cytometry to dissect clinical heterogeneity5
Quantifying colocalization: The case for discarding the Manders overlap coefficient5
Fast whole‐body motor neuron calcium imaging of freely moving Caenorhabditis elegans without coverslip pressed5
Measuring calibration factors by imaging a dish of cells expressing different tandem constructs plasmids5
Stabilization of Human Whole Blood Samples for Multicenter and Retrospective Immunophenotyping Studies5
Imaging flow cytometry and fluorescence microscopy in assessing radiation response in lymphocytes from umbilical cord blood and cancer patients5
Gating Harmonization Guidelines for Intracellular Cytokine Staining Validated in Second International Multiconsortia Proficiency Panel Conducted by Cancer Immunotherapy Consortium (CIC/5
In vitro aging of stallion spermatozoa during prolonged storage at 5°C5
An efficient and cost‐effective method for the purification of human basophils5
Cells infected with human papilloma pseudovirus display nuclear reorganization and heterogenous infection kinetics4
OMIP‐91: A 27‐color flow cytometry panel to evaluate the phenotype and function of human conventional and unconventional T‐cells4
iCoreDrop: A robust immune monitoring spectral cytometry assay with six open channels for biomarker flexibility4
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 degranulation4
Cell damage evaluation by intelligent imaging flow cytometry4
Merging and imputation of flow cytometry data: A critical assessment4
A comprehensive assessment of four whole blood stabilizers for flow‐cytometric analysis of leukocyte populations4
Enhanced segmentation of label‐free cells for automated migration and interaction tracking4
OMIP 073: Analysis of human thymocyte development with a 14‐color flow cytometry panel4
Investigating differences between tamoxifen resistant and sensitive breast cancer cells with flow cytometry4
Automated fluorescence gating and size determination reduce variation in measured concentration of extracellular vesicles by flow cytometry4
Shared Resource Laboratory Operations: Changes Made During Initial Global COVID‐19 Lockdown of 20204
Adaptive optics for structured illumination microscopy based on deep learning4
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 tis4
Immunophenotypical profiling of myeloid neoplasms with erythroid predominance using mass cytometry (CyTOF)4
Phenotypic analysis of the pediatric immune response to SARS‐CoV‐2 by flow cytometry4
Improved efficiency of urine cell image segmentation using droplet microfluidics technology4
Cross‐platform immunophenotyping of human peripheral blood mononuclear cells with four high‐dimensional flow cytometry panels4
Novel phenotypical and functional sub‐classification of liver macrophages highlights changes in population dynamics in experimental mouse models4
In‐depth immunophenotyping reveals significant alteration of lymphocytes in buffalo with brucellosis4
Further comments on the role of ACE‐2 positive macrophages in human lung4
Extensive flow cytometric immunophenotyping of human PBMC incorporating detection of chemokine receptors, cytokines and tetramers4
A new open‐source hardware device to measure vertical sperm motility and concentration4
Translocation of chromatin proteins to nucleoli—The influence of protein dynamics on post‐fixation localization4
Dual DNA staining enables isolation of multiple sub‐types of post‐replicative mouse male germ cells4
Recent progress in cytometric technologies and their applications in ecotoxicology and environmental risk assessment4
Enhanced resolution of marine viruses with violet side scatter4
Quantum approach for nanoparticle fluorescence by sub‐ns photon detection4
Expanding the use of flow cytometry in semen analysis: The rise of flow spermetry4
Discovering fiber type architecture over the entire muscle using data‐driven analysis4
Proliferative and anti‐apoptotic fractions in maturing hematopoietic cell lineages and their role in homeostasis of normal bone marrow3
Comparison of electrostatic and mechanical cell sorting with limited starting material3
Microraft arrays for serial‐killer CD19 chimeric antigen receptor T cells and single cell isolation3
Relationship between lymphocyte subsets values andC‐reactiveprotein inCOVID‐19 patients3
Taking molecular pathology to the next level: Whole slide multicolor confocal imaging with the Pannoramic Confocal digital pathology scanner3
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Improved estimation of the ratio of detection efficiencies of excited acceptors and donors for FRET measurements3
Label‐free multiphoton imaging flow cytometry3
OMIP‐096: A 24‐color flow cytometry panel to identify and characterize CD4+ and CD8+ tissue‐resident T cells in human skin, intestinal, and type II mucosal tissue3
Orchestrating multiplexity in polychromatic science through OMIPs: A decade‐old resource to empower biomedical research3
Impact of enzymatic digestion on single cell suspension yield from peripheral human lung tissue3
Adapting to the Coronavirus Pandemic: Building and Incorporating a Diagnostic Pipeline in a Shared Resource Laboratory3
OMIP‐94: Twenty‐four‐color (thirty‐marker) panel for deep immunophenotyping of immune cells in human peripheral blood3
Pluripotent stem cells: Basic biology or else differentiations aimed at translational research and the role of flow cytometry3
After cyclophosphamide exposure, granulosa cells recover their anti‐müllerian hormone‐producing ability but not their numbers3
Quantitative flow cytometry leveraging droplet‐based constriction microchannels with high reliability and high sensitivity3
Deep SED‐Net with interactive learning for multiple testicular cell types segmentation and cell composition analysis in mouse seminiferous tubules3
Fluorescent energy transfer causing misleading signal in multicolor flow cytometry3
Analysis insights for three FRET pairs of chemically unlinked two‐molecule FRET cytometry3
Detecting cells rotations for increasing the robustness of cell sizing by impedance measurements, with or without machine learning3
Establishing a biosafety plan for a flow cytometry shared resource laboratory3
OMIP‐102: 50‐color phenotyping of the human immune system with in‐depth assessment of T cells and dendritic cells3
Quantitative single‐cell optical technologies3
Differentiating single cervical cells by mitochondrial fluorescence imaging and deep learning‐based label‐free light scattering with multi‐modal static cytometry3
Bibliometric news and more about signal transduction and disease3
Acly promotes metabolic reprogramming and induction of IRF4 during early CD8+ T cell activation3
A simplified method for separating renal MPCs using SLAMF93
Howard M. Shapiro: Remembering Cytometry's Muse3
How well can your flow cytometer detect photons?3
Risk awareness during operation of analytical flow cytometers and implications throughout the COVID‐19 pandemic3
CPHEN‐15: Comprehensive phenotyping of human peripheral blood helper‐ILCs by flow cytometry3
Validation of multiparametric panels for bovine mesenchymal stromal cell phenotyping3
Behold Cytometrists: One Block Is Not Enough! Cyanine‐Tandems Bind Non‐Specifically to Human Monocytes3
Sub‐micro scale cell segmentation using deep learning3
Diffractive Beam Shaper for Multiwavelength Lasers for Flow Cytometry3
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Considerations for user consultation in a flow cytometry shared resource laboratory3
Flow cytometric measurement of STAT5 phosphorylation in cytomegalovirus‐stimulated T cells3
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