Cytometry Part A最新文献

{"title":"Ensembling Unets for Rare Chromosomal Aberration Detection in Metaphase Images, Uncertainty Quantification, and Ionizing Radiation Dose Estimation","authors":"Antonin Deschemps,&nbsp;Eric Grégoire,&nbsp;Juan S. Martinez,&nbsp;Edmond D. Sanou,&nbsp;Aurélie Vaurijoux,&nbsp;Pascale Fernandez,&nbsp;Delphine Dugue,&nbsp;Laure Bobyk,&nbsp;Marco Valente,&nbsp;Gaëtan Gruel,&nbsp;Emmanuel Moebel,&nbsp;Mohamedamine Benadjaoud,&nbsp;Charles Kervrann","doi":"10.1002/cyto.a.70042","DOIUrl":"10.1002/cyto.a.70042","url":null,"abstract":"<div>\u0000 \u0000 <p>In biological dosimetry a radiation dose is estimated using the average number of chromosomal aberrations per peripheral blood lymphocytes. This analysis is still manually performed on 2D metaphase images depicting the 23 pairs of chromosomes because the false discovery rate of current automated detection systems is too high and variable because of sensitivity to small variations in image quality (chromosome spread, illumination variations …). Therefore, the current systems are only used to assist human experts. Designing more performant automatic and reliable chromosomal aberration detection systems has become of paramount importance to improve diagnosis speed and reduce human expertise time. Here, we propose a novel deep-learning method for automatic rare chromosomal aberration detection and uncertainty quantification. We formulate the problem as a unique regression problem requiring the minimization of a sparsity-promoting loss to reduce the false alarm rate. Furthermore, we select checkpoints at the end of each epoch during training to form a model ensemble. The resulting artificial experts are further analyzed to derive a consensus voting, similar to an agreement of human annotator rating, to provide trustworthy aberration detections and confidence intervals. A radiation dose curve is finally derived from deep learning-assisted counting of dicentrics and fragments in metaphase images, in high agreement with the reference hand-crafted curve in biological dosimetry with a promising dose estimation validation.</p>\u0000 </div>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 7","pages":"485-499"},"PeriodicalIF":2.9,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148257672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The 1st Mediterranean Meeting on Flow Cytometry: Forging New Collaborations Across the Mediterranean and Beyond","authors":"Jordi Petriz,&nbsp;Catherine Blanc,&nbsp;Lydia Campos-Guyotat,&nbsp;Julia Almeida,&nbsp;Cyrille Mionnet","doi":"10.1002/cyto.a.70054","DOIUrl":"10.1002/cyto.a.70054","url":null,"abstract":"&lt;p&gt;The histories of the Sociedad Ibérica de Citometría (SIC) and the Association Française de Cytométrie (AFC) highlight a shared mission to standardize and advance quantitative single-cell analysis across international borders. Formed to bridge research and clinical laboratories across Spain and Portugal, SIC has spent decades supporting technology transfer, knowledge exchange, and quality control networks in Iberia. Similarly, AFC was established to connect France's strong network of clinical flow cytometry laboratories and academic shared-resource facilities.&lt;/p&gt;&lt;p&gt;Both societies are officially recognized as Associated Societies of the International Society for Advancement of Cytometry (ISAC). Through this global network, they connect local European scientists with international benchmarking efforts, educational initiatives such as CYTO-U, and multiparametric workflow guidelines.&lt;/p&gt;&lt;p&gt;A particularly strong point of both AFC and SIC is their extensive experience in teaching and training. In France, cytometry courses have long been offered not only to French cytometrists but also to professionals from the Maghreb and other African countries, fostering lasting training links with the region. Likewise, SIC actively promotes the development of multiparametric cytometry in both basic and clinical research through knowledge transfer between laboratories and technological units in Spain and Portugal. SIC also maintains active working groups and quality control programs that enhance collaboration and standardization across the Iberian cytometry community.&lt;/p&gt;&lt;p&gt;The partnership between AFC and SIC takes a major step forward with the organization of the 1st Mediterranean Meeting on Flow Cytometry. This landmark joint congress brings together the scientific communities of France, Spain, and Portugal, establishing a regional hub for cross-border collaboration. Scheduled to take place at the Granada Exhibition and Conference Center in Granada, Spain, the meeting will serve as a forum for researchers, clinicians, and core facility managers to exchange advances in single-cell analysis, high-dimensional flow cytometry, and clinical diagnostics. Holding the congress in the historic city of Granada provides an inspiring, culturally rich setting while also bridging the Mediterranean and Iberian scientific networks and reinforcing a shared commitment to elevating the field within the global cytometry community.&lt;/p&gt;&lt;p&gt;This historic event marks the first time the SIC Intercalary Congress and the 29th Annual Congress of AFC are being held concurrently as a single, unified summit. Beyond bringing together the French, Spanish, and Portuguese cytometry communities, this alignment carries a broader strategic vision: transforming the Mediterranean basin into a gateway for greater scientific equity. The meeting is designed to support the exchange of cutting-edge knowledge, standardized best practices, and technical expertise in flow cytometry across North Africa and other","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 7","pages":"482-484"},"PeriodicalIF":2.9,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.70054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148367311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refractive Index–Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology","authors":"Minseok Lee,&nbsp;Tal Lifshitz,&nbsp;Young Ki Lee,&nbsp;Geon Kim,&nbsp;Seog Yun Park,&nbsp;Hayoung Lee,&nbsp;Juyeon Park,&nbsp;Eun Kyung Lee,&nbsp;YongKeun Park","doi":"10.1002/cyto.a.70041","DOIUrl":"10.1002/cyto.a.70041","url":null,"abstract":"<p>Conventional bright-field (BF) cytology of thyroid fine-needle aspiration biopsy (FNAB) suffers from staining variability and limited subcellular contrast. Here, we present a refractive index–correlated pseudocoloring (RICP) framework that integrates quantitative refractive index (RI) maps obtained by holotomography (HT) with color BF images to enhance subcellular visualization and image interpretability. A digital micromirror device (DMD)–based HT system combined with an RGB LED illumination module enabled sequential acquisition of RI tomograms and BF images from Papanicolaou (PAP)-stained thyroid samples over the same field of view. The RICP algorithm adaptively embeds RI-derived structural information into a complementary hue channel while preserving the overall BF appearance. Applied to benign and malignant thyroid clusters, RICP highlighted subcellular features such as nucleoli, lipid droplets, and nuclear irregularities. Hue–saturation analysis revealed differences between benign and malignant clusters, while complementary image-fusion metrics and delentropy analysis both indicated systematic changes in structural image content after fusion. An ablation analysis further showed that the RI-derived input contributes structural content beyond that obtained when the RI map is replaced by an inverted Value channel of the BF image in HSV space within the same pseudocoloring framework. These results indicate that RICP provides a perceptually grounded approach for correlative multimodal visualization that bridges conventional color cytology and quantitative optical imaging.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 7","pages":"500-512"},"PeriodicalIF":2.9,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.70041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148263792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Volume 109A, Number 6, June 2026 Cover Image","authors":"","doi":"10.1002/cyto.a.70051","DOIUrl":"https://doi.org/10.1002/cyto.a.70051","url":null,"abstract":"","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OMIP-121: Immune Phenotyping of Canine Peripheral Leukocytes by Mass Cytometry","authors":"Huyen Thuc Tran Luong,&nbsp;Dominique Revets,&nbsp;Sofie Vercammen,&nbsp;Ario de Marco,&nbsp;Hilde de Rooster,&nbsp;Antonio Cosma","doi":"10.1002/cyto.a.70040","DOIUrl":"10.1002/cyto.a.70040","url":null,"abstract":"<p>Dogs are a critical non-rodent species used in preclinical safety studies, particularly, in the pharmaceutical field, due to their physiological, metabolic, and immunological similarities to humans. As such, immunophenotyping of canine peripheral blood mononuclear cells (PBMCs) plays a crucial role in translational research, immune monitoring, and safety evaluations in drug development. However, the limited availability of canine-specific antibodies restricts detailed and accurate immune profiling, which is essential for advancing safety evaluations in drug development. To address this challenge, we developed a 15-marker panel for comprehensive mass cytometry-based immunophenotyping of cryopreserved canine PBMCs. This panel encompasses major leukocyte subsets, including B cells, CD4+ T helper cells, regulatory T cells, CD8+ cytotoxic T cells, memory T cell subsets, natural killer T cells, natural killer cells, dendritic cells, CD4+ monocytes, classical monocytes, and neutrophils. We utilized both extracellular and intracellular markers to facilitate in-depth immune profiling, despite the limited availability of canine-specific antibodies. The panel was thoroughly optimized in terms of marker selection, antibody clone validation, and metal isotope pairing. Additionally, by the use of mass cytometry, several channels remain unoccupied, providing flexibility for future panel expansion.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 6","pages":"393-412"},"PeriodicalIF":2.9,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148249705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simultaneous Assessment of Calcium Signaling and Mitochondria Activity in Human Platelets Using Continuous Flow Cytometry","authors":"Artem A. Mishukov,&nbsp;Anastasia A. Ignatova,&nbsp;Anna L. Ogneva,&nbsp;Nikita S. Nikitin,&nbsp;Mikhail A. Panteleev,&nbsp;Quhuan Li,&nbsp;Anna Shcherbina,&nbsp;Anastasia N. Sveshnikova","doi":"10.1002/cyto.a.70038","DOIUrl":"10.1002/cyto.a.70038","url":null,"abstract":"<div>\u0000 \u0000 <p>Increasing evidence suggests connection between mitochondrial dysfunction and platelet-related disorders, necessitating developing of a high throughput method for assessing the functioning of mitochondria in platelets. Here we develop an approach to monitor the membrane potential of mitochondria simultaneously with intracellular calcium signaling in platelets using continuous flow cytometry. Platelets were loaded with Fura Red and DiOC₆(3), which did not affect intracellular calcium signaling and the realization of platelet functional responses. The values were normalized using the negative controls with CCCP in order to make the signal independent of the platelet size and the number of mitochondria. Stimulation with ADP and TRAP-6 produced transient mitochondrial hyperpolarization, whose amplitude was directly proportional to the calcium mobilization. Platelets from patients with Wiskott–Aldrich syndrome (WAS) demonstrated reduced membrane potential of mitochondria in resting platelets in comparison to healthy donors, but their ability to increase the activity of mitochondria upon stimulation was not impaired.</p>\u0000 </div>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 6","pages":"413-424"},"PeriodicalIF":2.9,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148053146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Graph-Theoretic Approach to Minimizing Union Operations for Optimal FMO Construction","authors":"Ryan Kmet,&nbsp;Shuchan Zhou,&nbsp;David Novo","doi":"10.1002/cyto.a.70032","DOIUrl":"10.1002/cyto.a.70032","url":null,"abstract":"<div>\u0000 \u0000 <p>We model the process of computing all <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mfenced>\u0000 <mrow>\u0000 <mi>n</mi>\u0000 <mo>−</mo>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 </mfenced>\u0000 </mrow>\u0000 </semantics></math>-element subsets of an <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>n</mi>\u0000 </mrow>\u0000 </semantics></math>-element set (representing a set of fluorescence minus one [FMO] controls) using only binary union operations. By representing this process as a Directed Acyclic Graph (DAG), we present an algorithm that can make all FMOs in the theoretical minimum <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>3</mn>\u0000 <mi>n</mi>\u0000 <mo>−</mo>\u0000 <mn>6</mn>\u0000 </mrow>\u0000 </semantics></math> unions (when <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>n</mi>\u0000 <mo>≥</mo>\u0000 <mn>3</mn>\u0000 </mrow>\u0000 </semantics></math>). Finally, we generalize the construction to arbitrary subsets of leave-one-out targets and prove a bound on the number of operations in such cases.</p>\u0000 </div>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 6","pages":"456-459"},"PeriodicalIF":2.9,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147811876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of T:B Cell Multimers After Bispecific T Cell Engagement, Using Both Conventional and Imaging Flow Cytometry","authors":"Joanne E. Davis,&nbsp;Mandy Ludford-Menting,&nbsp;Helena Peng,&nbsp;Darryl N. Johnson,&nbsp;David S. Ritchie,&nbsp;Rachel Koldej","doi":"10.1002/cyto.a.70039","DOIUrl":"10.1002/cyto.a.70039","url":null,"abstract":"<p>Bispecific T cell engagers bring together T cells with malignant B cell targets to enable synapse formation and disease eradication of hematological malignancies. The proportion of T cells and their ability to bind to their targets varies between patients and may be a biomarker of response. In this study, we developed a method to detect T and B cell conjugates, as measured by conventional flow cytometry, and confirmed using imaging flow cytometry. After bispecific antibody engagement, multiple T cells were bound to each target cell in complexes comprising CD4+, CD8+, and CD4+ and CD8+ T cells. Imaging flow cytometry confirmed that the number and size of multimers increased significantly in the presence of bispecific antibodies. Conventional cytometry misidentified the memory phenotype of T cells bound to target cells due to augmented co-expression of CD45RA and CCR7 cell surface memory markers. Imaging flow cytometry verified conventional flow cytometry data showing increased T:B synapse and multimer formation after incubation with bispecific T cell engagers. Therefore, both flow cytometry platforms are suitable for identification of T cell: target cell conjugates.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 6","pages":"425-435"},"PeriodicalIF":2.9,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148053139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement and Prediction of Unmixing-Dependent Spreading due to Collinearity in Spectral Flow Cytometry","authors":"Peter L. Mage,&nbsp;Andrew J. Konecny,&nbsp;Florian Mair","doi":"10.1002/cyto.a.70044","DOIUrl":"10.1002/cyto.a.70044","url":null,"abstract":"<p>Advances in spectral cytometry instrumentation and fluorescent reagents have led to the possibility of ultra-high-parameter panels exceeding 50 colors. However, panel size is limited in practice by unmixing-dependent spreading (UDS), a phenomenon which leads to a progressive deterioration of unmixed signal-to-noise ratios in panels that contain fluorochrome combinations with significant spectral overlap. So far, choosing spectrally compatible sets of fluorochromes that avoid UDS has been a complex and labor-intensive task involving substantial trial-and-error experimentation. Here, we provide a detailed explanation of UDS and practical strategies for handling UDS in large spectral panels. We describe the empirical hallmarks of UDS, demonstrate how to quantify its impact, and dissect its underlying mathematical cause in terms of spectral collinearity. We present practical tools derived from the regression literature that can be used to select optimal combinations of fluorochromes in a platform-agnostic fashion based on publicly available reference data, providing a general tool for spectral panel design.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 6","pages":"436-455"},"PeriodicalIF":2.9,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.70044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148239091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OMIP-120: A 22-Marker Spectral Flow Cytometry Panel for the Characterization of Major Immune Populations in Murine Bone Marrow and Osteosarcoma Tissue","authors":"Simone Foderaro,&nbsp;Manon Mulders,&nbsp;Celine C. E. De Schrijver,&nbsp;Crescenzo Massaro,&nbsp;Alberta G. A. Paul,&nbsp;Juan J. Garcia-Vallejo,&nbsp;Serena Rubina Baglio","doi":"10.1002/cyto.a.70034","DOIUrl":"10.1002/cyto.a.70034","url":null,"abstract":"<p>Tumors that develop in the bone exhibit poor responses to most treatment options, including advanced immunotherapies. Despite its immune-rich composition, the bone marrow microenvironment often fails to suppress tumor progression and instead promotes tumor growth and immune evasion, although the underlying mechanisms remain poorly understood. To investigate tumor-induced remodeling of the bone marrow immune environment and characterize tumor-infiltrating immune populations, we developed a high-dimensional 22-marker spectral flow cytometry panel for use in preclinical models of bone and bone marrow cancers. The panel enables profiling of major immune populations including CD4⁺ T and CD8⁺ T cells, B cells, Natural Killer cells, dendritic cells, monocytes, macrophages and neutrophils, and incorporates activation, exhaustion and immune checkpoint markers. Panel optimization was performed using spleen, freshly isolated bone marrow and tibial osteosarcoma tissue from adult BALB/c mice. While optimized for murine osteosarcoma and bone marrow tissue, this panel provides a robust and adaptable platform for high-dimensional immune profiling across solid tumors and hematological malignancies.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"109 5","pages":"317-349"},"PeriodicalIF":2.9,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148148572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}