Disclosed are various embodiments for interpretation of flow cytometry data. Flow cytometry data sets are combined to form a multidimensional image cube. The machine learning functions and genetic algorithm interpret the multidimensional image cube to produce a confidence value that is assigned to a ...
Flow cytometry in hematopathology: a visual approach to data analysis and interpretation: Doyen Nguyen, Lawrence W. Diamond, Raul C. Braylan. Totowa, NJ, H... Flow cytometry in hematopathology : a visual approach to data analysis and interpretation Doyen Nguyen, Lawrence W. Diamond, Raul C. ...
Approach to flow cytometry: General considerations Doyen Nguyen, Lawrence W. Diamond, Raul C. Braylan Pages 1-8 FCM immunophenotyping and DNA analysis: Practical aspects that can affect data analysis and interpretation Doyen Nguyen, Lawrence W. Diamond, Raul C. Braylan ...
Flow CytometryThis chapter discusses the cellular sources of reactive oxygen species (ROS) and their enzymatic detoxification; common methods used to determine... JS Armstrong,M Whiteman - 《Methods in Cell Biology》 被引量: 82发表: 2007年 Candida albicans serotype analysis by flow cytometry Candid...
Advantages of multiparameter flow cytometry include the ability to probe single cells with multiple functional markers, to correlate protein expression levels using multiple antibodies, and ultimately to more accurately define cell populations. Increa...
The results were plotted as a linear graph for each dilution and or logarithm of each dilution against the processed values of the flow cytometry counting results processing value. A multivariate analysis was used to evaluate the influence of erythrocytes and changes to the antibody concentration on...
In this population, every adult plant (both reproductive and vegetative plants) was labeled, its position recorded in a rectangular coordinate system, its DNA ploidy level measured using flow cytometry (Castro et al., 2012) and a sample for DNA analyses collected and stored in silica gel. In ...
Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis Xuanwen Hua Keyi Han Shu Jia Nature Communications (2024) Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics Yawei Zhang Liang Zhao Xianguang ...
Part of the flow/mass cytometry data analysis process is aligning (matching) cell subsets between relevant samples. Current methods address this cluster-matching problem in ways that are either computationally expensive, affected by the curse of dimensionality, or fail when population patterns significant...
The rapidly increasing dimensionality and throughput of flow and mass cytometry data necessitate new bioinformatics tools for analysis and interpretation, and the recently emerging single-cell-based algorithms provide a powerful strategy to meet this challenge. Results Here, we present CytoTree, an R/Bi...