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Imaging flow cytometry is an automated method that enables cells and fluorescent signals to be visualized and quantified. Here, we describe a new imaging flow cytometry method whereby fluorescence in situ hybridization (FISH) is integrated with cell phenotyping. The method, called "immuno-flowFISH," provides an exciting new dimension for the analysis of genomic changes in cytological samples (e.g., blood, bone marrow). Cells are analyzed in suspension without any requirement for prior cell isolation or separation. Multiple antibodies and FISH probes, each with a unique fluorophore, can be added and many thousands of cells analyzed. Specific cell populations are identified by their antigenic profile and then analyzed for the presence of chromosomal defects. Immuno-flowFISH was applied to the assessment of chronic lymphocytic leukemia (CLL), a mature B-cell neoplasm where chromosomal abnormalities predict prognosis and treatment requirements. This integrated immunophenotyping and multi-probe FISH strategy could detect both structural and numerical chromosomal changes involving chromosomes 12 and 17 in CLL cells. Given that many thousands of cells were analyzed and the leukemic cells were positively identified by their immunophenotype, this multi-probe method adds precision to the cytogenomic analysis of CLL. © 2021 Wiley Periodicals LLC.

Flow cytometry provides robust, multi-parametric and quantitative information on single cells which also exhibits enormous potential as a tool for small particle characterisation. Small extracellular vesicle (sEV) detection by flow cytometry remains compromised due to the high prevalence of swarm detection, which is defined by the simultaneous illumination of more than one sEV, recorded as a single event. Detection of sEVs by imaging flow cytometry presents a major advantage by having the ability to resolve single particles from swarm detection based on the image features recorded for each event. In this study, we provide a simplified protocol that facilitates the removal of both swarm events and aggregated particles to improve the accuracy of sEV analysis. Our results indicate that imaging flow cytometry should be at the forefront as a robust and sensitive technique for sEV characterisation.

Chronic Lymphocytic Leukaemia (CLL), the most common leukaemia in the Western world, has a characteristic phenotype and prognosis largely defined by the presence of cytogenetic aberrations. The gold standard for detecting these cytogenetic abnormalities is interphase fluorescence in situ hybridisation (FISH) performed on cell smears or tissue sections on glass slides. Fluorescently labelled DNA probes bind to specific chromosomal regions and the signal detected by fluorescent microscopy. Generally only 200 cells are assessed and the limit of sensitivity is 3% positive cells. Here we report the development and use of imaging flow cytometry to assess chromosomes by FISH in phenotyped CLL cells in suspension. Thousands of CLL cells, identified by their phenotype, are assessed for specific FISH probe signals using an automated, high throughput imaging flow cytometer. The "extended depth of field" capability of the imaging flow cytometer enables FISH probe signals ("spots") to be resolved and localised within the (stained) nucleus of the immunophenotyped cells. We report the development of the automated "immuno-flowFISH" on normal blood using the Amnis ImageStreamX mark II platform and illustrate the clinical application of the method for the assessment of chromosome 12 in CLL. It is a powerful new method which has potential to be applied at diagnosis for disease stratification, and following treatment to assess residual disease. These applications will assist clinicians in optimising therapeutic decision making and thereby improve patient outcome.

Imaging flow cytometry is emerging as a diagnostic tool for the assessment of leukemia. It has the functionality of standard flow cytometry and generates high-resolution digital images of each cell with quantifiable numerical data. We demonstrate the use of an automated high-throughput method for performing fluorescence in situ hybridization (FISH) on immunophenotyped whole cells in suspension and analyzed by imaging flow cytometry, a technique called "Immuno-flowFISH". The aim of this study was to demonstrate the application of immuno-flowFISH for the detection of chromosomal abnormalities in CLL, specifically trisomy 12 and del(17p). Mononuclear cells were isolated and immunophenotyped with fluorescently conjugated CD3, CD5, and CD19 monoclonal antibodies. Following fixation, cells were permeabilized, dsDNA denatured and hybridized with chromosome 12 or 17 enumeration (CEP 12 and CEP17) and 17p12 locus-specific FISH probes. Cells were analyzed on the Amnis ImageStream®X Mark II to assess the number and percent FISH-positive CLL cells and the ratio of FISH spot counts for CD5/CD19-positive CLL cells to CD3/CD5-positive T cells (FISH "mean spot ratio"). Deletion of 17p was detected in about 8% of cases to date, with del(17p) ranged from 3.5-22.8% and the FISH "mean spot ratio" 0.86-0.96. Immuno-flowFISH also detected a minimal residual disease case with +12 with a limit of detection of 0.13% and a rare case that presented with atypical phenotype and cytogenetics. Immuno-flowFISH could detect del(17p) in phenotypically identified CD5/CD19-positive B-cells. The 100-fold increase in analyzed cells, as well as the addition of cell phenotype increased the sensitivity and specificity over current clinical FISH testing. Furthermore, immuno-flowFISH analysis demonstrated specific utility in unique clinical scenarios such as residual disease and atypical biology cases which may be of significant benefit with regards to prognostication and MRD analysis. The method will assist in therapeutic decision making and disease monitoring for many hematological malignancies. © 2019 International Society for Advancement of Cytometry.

Advances in science education research have the potential to improve the way students learn to perform scientific interpretations and understand science concepts. We developed active, collaborative activities to teach skills in manipulating flow cytometry data using FlowJo software. Undergraduate students were given compensated clinical flow cytometry listmode output (FCS) files and asked to design a gating strategy to diagnose patients with different hematological malignancies on the basis of their immunophenotype. A separate cohort of research trainees was given uncompensated data files on which they performed their own compensation, calculated the antibody staining index, designed a sequential gating strategy, and quantified rare immune cell subsets. Student engagement, confidence, and perceptions of flow cytometry were assessed using a survey. Competency against the learning outcomes was assessed by asking students to undertake tasks that required understanding of flow cytometry dot plot data and gating sequences. The active, collaborative approach allowed students to achieve learning outcomes not previously possible with traditional teaching formats, for example, having students design their own gating strategy, without forgoing essential outcomes such as the interpretation of dot plots. In undergraduate students, favorable perceptions of flow cytometry as a field and as a potential career choice were correlated with student confidence but not the ability to perform flow cytometry data analysis. We demonstrate that this new pedagogical approach to teaching flow cytometry is beneficial for student understanding and interpretation of complex concepts. It should be considered as a useful new method for incorporating complex data analysis tasks such as flow cytometry into curricula.

Platelets are subcellular blood elements with a well-established role in haemostasis. Upon activation platelets express P-Selectin (CD62P) on the cell membrane and bind to P-Selectin glycoprotein ligand 1 expressing monocytes, influencing them toward a pro-adhesive and inflammatory phenotype. It is well established that elevated circulating monocyte-platelet aggregates (MPAs) are linked to atherothrombosis in high risk patients. However, whole blood flow cytometry (FCM) has recently shown that circulating MPAs may also occur in the absence of platelet activation, particularly in healthy children. A potential limitation of conventional FCM is the potential for coincident events to resemble monocyte platelet aggregates. Here we report a novel imaging cytometry approach to further characterize monocyte-platelet aggregate formation by P-Selectin dependent and P-Selectin independent mechanisms and distinguish circulating MPAs from coincidental events. Monocytes were identified by expression of the lipopolysachharide receptor (CD14 BV421), while platelets were identified by expression of the glycoprotein Ib (CD42b APC). Differentiation of P-Selectin dependent and P-Selectin independent binding was achieved with AF488 labeled CD62P. Overall analysis of circulating and in vitro generated MPAs by conventional and imaging cytometry methods showed very strong correlation (r2 = >0.99, P

Fluorescence in situ hybridization (FISH) is a microscopy technique which uses a fluorescent probe to detect DNA sequences and is generally performed on metaphase spreads or interphase nuclei of intact cells on a slide. In a diagnostic laboratory, cells are hybridized with fluorescent probes and up to 200 cells counted for the number of cells with probe "spots." Recent modifications to standard FISH include immuno-FISH, where chromosomal abnormalities are detected only in cells by their phenotype, and S-FISH where probe hybridization is performed on whole cells in suspension. Here we describe the development of an immuno-S-FISH method that combines immunophenotyping and FISH analysis of cells in suspension followed by analysis on an imaging flow cytometer. This single platform technique couples microscopy with flow cytometry and "spot" detection of bound FISH probe. Automated immuno-S-FISH enables large numbers of analyzed cells to be identified by phenotype and assessed for specific chromosomal determinants by FISH. This novel robust method enables quantitative cell population analysis and "spot" counting for large numbers of cells. We report method optimization of this imaging immuno-S-FISH flow cytometry protocol which has capability for many clinical applications. © 2016 International Society for Advancement of Cytometry.

Mitochondria are both morphologically and functionally diverse, and this variety is thought to have important biological ramifications. The development of methods to probe the properties of individual mitochondria is therefore of utmost importance. Recent advances have been made using in situ microscopy techniques and methods to investigate isolated mitochondria, including flow cytometry, capillary electrophoresis, patch-clamping and optical trapping. Such techniques have been used to study metabolism, mitochondrial calcium homeostasis, mitochondrial membrane potential, apoptosis, and other properties.

Automated imaging flow cytometry integrates flow cytometry with digital microscopy to produce high-resolution digital imaging with quantitative analysis. This enables cell identification based on morphology (cell size, shape), antigen expression, quantification of fluorescence signal intensity and localisation of detected signals (i.e. surface, cytoplasm, nuclear). We describe applications of imaging flow cytometry for the diagnostic assessment of acute leukaemia. These bone marrow malignancies are traditionally diagnosed and classified by cell morphology, phenotype and cytogenetic abnormalities. Traditionally morphology is assessed by light microscopy, phenotyping by conventional flow cytometry and genetics by karyotype and fluorescence in situ hybridisation (FISH) on interphase nuclei/metaphase spreads of cells on slides. Imaging flow cytometry adds a new dimension to the diagnostic assessment of these neoplasms. We describe three specific applications: From this we conclude that imaging flow cytometry offers benefits over conventional diagnostic methods. Specifically the ability to visualise the cells of interest, the pattern and localisation of expressed antigens and assess cytogenetic abnormalities in one integrated automated high-throughput test. Imaging flow cytometry presents a new paradigm for the diagnostic assessment of leukaemia.