Cytometry Part A最新文献_第10页

Combinatorial antibody titrations for high-parameter flow cytometry 用于高参数流式细胞仪的组合抗体滴定。

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2024-02-06 DOI: 10.1002/cyto.a.24828

Olivia K. Burn, Florian Mair, Laura Ferrer-Font

引用次数: 0

Volume 105A, Number 1, January 2024 Cover Image 第 105A 卷，第 1 号，2024 年 1 月封面图片

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2024-01-21 DOI: 10.1002/cyto.a.24742

引用次数: 0

OMIP-100: A flow cytometry panel to investigate human neutrophil subsets OMIP-100：用于研究人类中性粒细胞亚群的流式细胞仪面板。

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2024-01-05 DOI: 10.1002/cyto.a.24820

Craig J. Schofield, Rabindra Tirouvanziam, Luke W. Garratt

{"title":"OMIP-100: A flow cytometry panel to investigate human neutrophil subsets","authors":"Craig J. Schofield, Rabindra Tirouvanziam, Luke W. Garratt","doi":"10.1002/cyto.a.24820","DOIUrl":"10.1002/cyto.a.24820","url":null,"abstract":"This 14-color, 13-antibody optimized multicolor immunofluorescence panel (OMIP) was designed for deep profiling of neutrophil subsets in various types of human samples to contextualize neutrophil plasticity in a range of healthy and diseased states. Markers present in the OMIP allow the profiling of neutrophil subsets associated with ontogeny, migration, phagocytosis capacity, granule release, and immune modulation. For panel design, we ensured that the commonly available fluorophores FITC/AF488, PE, and APC were assigned to the intracellular subset marker Olfactomedin 4, the maturity and activation marker CD10, and whole blood subset marker CD177, respectively. These markers can be easily replaced without affecting the core identification of neutrophils, enabling antibodies to new neutrophil antigens of interest or for fluorescent substrates to assess different neutrophil functions to be easily explored. Panel optimization was performed on whole blood and purified neutrophils. We demonstrate applications on clinical samples (whole blood and saliva) and experimental endpoints (purified neutrophils stimulated through an in vitro transmigration assay). We hope that providing a uniform platform to analyze neutrophil plasticity in various sample types will facilitate the future understanding of neutrophil subsets in health and disease.","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"105 2","pages":"81-87"},"PeriodicalIF":3.7,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.24820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139097500","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}

引用次数: 0

Studying antigen-specific T cells through a streamlined, whole blood-based extracellular approach 通过简化的全血细胞外方法研究抗原特异性 T 细胞。

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2023-12-27 DOI: 10.1002/cyto.a.24818

Jacques Trauet, Penelope Bourgoin, Jana Schuldt, Guillaume Lefèvre, Myriam Labalette, Jean-Marc Busnel, Julie Demaret

{"title":"Studying antigen-specific T cells through a streamlined, whole blood-based extracellular approach","authors":"Jacques Trauet, Penelope Bourgoin, Jana Schuldt, Guillaume Lefèvre, Myriam Labalette, Jean-Marc Busnel, Julie Demaret","doi":"10.1002/cyto.a.24818","DOIUrl":"10.1002/cyto.a.24818","url":null,"abstract":"Techniques currently used for the study of antigen-specific T-cell responses are either poorly informative or require a heavy workload. Consequently, many perspectives associated with the broader study of such approaches remain mostly unexplored in translational research. However, these could benefit many fields including but not limited to infectious diseases, oncology, and vaccination. Herein, the main objective of this work was to develop a standardized flow cytometry-based approach that would combine ease of use together with a relevant study of antigen-specific T-cell responses so that they could be more often included in clinical research. To this extent, a streamlined approach relying on 1/ the use of whole blood instead of peripheral blood mononuclear cells and 2/ solely based on the expression of extracellular activation-induced markers (AIMs), called whole blood AIM (WAIM), was developed and further compared to more conventional techniques such as enzyme-linked immunospot (ELISpot) and flow cytometry-based intracellular cytokine staining (ICS). Based on a cohort of 20 individuals receiving the COVID-19 mRNA vaccine and focusing on SARS-CoV-2 and cytomegalovirus (CMV)-derived antigen T-cell-specific responses, a significant level of correlation between the three techniques was found. Based on the use of whole blood and on the expression of extracellular activation-induced markers (CD154, CD137, and CD107a), the WAIM technique appears to be very simple to implement and yet allows interesting patient stratification capabilities as the chosen combination of extracellular markers exhibited higher orthogonality than cytokines that are commonly considered in ICS (IFN-γ, TNF-α, and IL-2).","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"105 4","pages":"288-296"},"PeriodicalIF":3.7,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139039644","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}

引用次数: 0

Deep ultraviolet 266 nm laser excitation for flow cytometry 用于流式细胞仪的深紫外 266 纳米激光激发。

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2023-12-20 DOI: 10.1002/cyto.a.24813

William Telford

{"title":"Deep ultraviolet 266 nm laser excitation for flow cytometry","authors":"William Telford","doi":"10.1002/cyto.a.24813","DOIUrl":"10.1002/cyto.a.24813","url":null,"abstract":"High dimensional flow cytometry relies on multiple laser sources to excite the wide variety of fluorochromes now available for immunophenotyping. Ultraviolet lasers (usually solid state 355 nm) are a critical part of this as they excite the BD Horizon™ Brilliant Ultraviolet (BUV) series of polymer fluorochromes. The BUV dyes have increased the number of simultaneous fluorochromes available for practical high-dimensional analysis to greater than 40 for spectral cytometry. Immunologists are now seeking to increase this number, requiring both novel fluorochromes and additional laser wavelengths. A laser in the deep ultraviolet (DUV) range (from ca. 260 to 320 nm) has been proposed as an additional excitation source, driven by the on-going development of additional polymer dyes with DUV excitation. DUV lasers emitting at 280 and 320 nm have been previously validated for flow cytometry but have encountered practical difficulties both in probe excitation behavior and in availability. In this article, we validate an even shorter DUV 266 nm laser source for flow cytometry. This DUV laser provided minimal excitation of the BUV dyes (a desirable characteristic for high-dimensional analysis) while demonstrating excellent excitation of quantum nanoparticles (Qdots) serving as surrogate fluorochromes for as yet undeveloped DUV excited dyes. DUV 266 nm excitation may therefore be a viable candidate for expanding high-dimensional flow cytometry into the DUV range and providing an additional incidental excitation wavelength for spectral cytometry. Excitation in a spectral region with strong absorption by nucleic acids and proteins (260–280 nm) did result in strong autofluorescence requiring care in fluorochrome selection. DUV excitation of endogenous molecules may nevertheless have additional utility for label-free analysis applications.","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"105 3","pages":"214-221"},"PeriodicalIF":3.7,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138800185","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}

引用次数: 0

Leukocyte differential based on an imaging and impedance flow cytometry of microfluidics coupled with deep neural networks 基于微流控成像和阻抗流式细胞仪与深度神经网络的白细胞鉴别。

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2023-12-19 DOI: 10.1002/cyto.a.24823

Xiao Chen, Xukun Huang, Jie Zhang, Minruihong Wang, Deyong Chen, Yueying Li, Xuzhen Qin, Junbo Wang, Jian Chen

{"title":"Leukocyte differential based on an imaging and impedance flow cytometry of microfluidics coupled with deep neural networks","authors":"Xiao Chen, Xukun Huang, Jie Zhang, Minruihong Wang, Deyong Chen, Yueying Li, Xuzhen Qin, Junbo Wang, Jian Chen","doi":"10.1002/cyto.a.24823","DOIUrl":"10.1002/cyto.a.24823","url":null,"abstract":"The differential of leukocytes functions as the first indicator in clinical examinations. However, microscopic examinations suffered from key limitations of low throughputs in classifying leukocytes while commercially available hematology analyzers failed to provide quantitative accuracies in leukocyte differentials. A home-developed imaging and impedance flow cytometry of microfluidics was used to capture fluorescent images and impedance variations of single cells traveling through constrictional microchannels. Convolutional and recurrent neural networks were adopted for data processing and feature extractions, which were then fused by a support vector machine to realize the four-part differential of leukocytes. The classification accuracies of the four-part leukocyte differential were quantified as 95.4% based on fluorescent images plus the convolutional neural network, 90.3% based on impedance variations plus the recurrent neural network, and 99.3% on the basis of fluorescent images, impedance variations, and deep neural networks. Based on single-cell fluorescent imaging and impedance variations coupled with deep neural networks, the four-part leukocyte differential can be realized with almost 100% accuracy.","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"105 5","pages":"315-322"},"PeriodicalIF":3.7,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138800299","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}

引用次数: 0

An approach of separating the overlapped cells or nuclei based on the outer Canny edges and morphological erosion 基于外坎尼边缘和形态侵蚀分离重叠细胞或细胞核的方法

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2023-12-18 DOI: 10.1002/cyto.a.24819

Wenfei Zhang, Zhenzhou Wang

{"title":"An approach of separating the overlapped cells or nuclei based on the outer Canny edges and morphological erosion","authors":"Wenfei Zhang, Zhenzhou Wang","doi":"10.1002/cyto.a.24819","DOIUrl":"10.1002/cyto.a.24819","url":null,"abstract":"In biomedicine, the automatic processing of medical microscope images plays a key role in the subsequent analysis and diagnosis. Cell or nucleus segmentation is one of the most challenging tasks for microscope image processing. Due to the frequently occurred overlapping, few segmentation methods can achieve satisfactory segmentation accuracy yet. In this paper, we propose an approach to separate the overlapped cells or nuclei based on the outer Canny edges and morphological erosion. The threshold selection is first used to segment the foreground and background of cell or nucleus images. For each binary connected domain in the segmentation image, an intersection based edge selection method is proposed to choose the outer Canny edges of the overlapped cells or nuclei. The outer Canny edges are used to generate a binary cell or nucleus image that is then used to compute the cell or nucleus seeds by the proposed morphological erosion method. The nuclei of the Human U2OS cells, the mouse NIH3T3 cells and the synthetic cells are used for evaluating our proposed approach. The quantitative quantification accuracy is computed by the Dice score and 95.53% is achieved by the proposed approach. Both the quantitative and the qualitative comparisons show that the accuracy of the proposed approach is better than those of the area constrained morphological erosion (ACME) method, the iterative erosion (IE) method, the morphology and watershed (MW) method, the Generalized Laplacian of Gaussian filters (GLGF) method and ellipse fitting (EF) method in separating the cells or nuclei in three publicly available datasets.","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":"105 4","pages":"266-275"},"PeriodicalIF":3.7,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138742436","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}

引用次数: 0

Issue Information - Editorial board 期刊信息 - 编辑委员会

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2023-12-13 DOI: 10.1002/cyto.a.24651

引用次数: 0

Issue Information - Editorial Policy 发行信息 - 编辑政策

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2023-12-13 DOI: 10.1002/cyto.a.24653

引用次数: 0

Volume 103A, Number 12, December 2023 Cover Image 第 103A 卷，第 12 期，2023 年 12 月封面图片

IF 3.7 4区生物学

Cytometry Part A Pub Date : 2023-12-13 DOI: 10.1002/cyto.a.24647

引用次数: 0