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  1. Artikel ; Online: High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se'™ High-Definition t-SNE Mapping.

    Bruce Bagwell, C

    Methods in molecular biology (Clifton, N.J.)

    2017  Band 1678, Seite(n) 11–36

    Abstract: This chapter outlines how to approach the complex tasks associated with designing models for high-dimensional cytometry data. Unlike gating approaches, modeling lends itself to automation and accounts for measurement overlap among cellular populations. ... ...

    Abstract This chapter outlines how to approach the complex tasks associated with designing models for high-dimensional cytometry data. Unlike gating approaches, modeling lends itself to automation and accounts for measurement overlap among cellular populations. Designing these models is now easier because of a new technique called high-definition t-SNE mapping. Nontrivial examples are provided that serve as a guide to create models that are consistent with data.
    Mesh-Begriff(e) Algorithms ; Animals ; Computational Biology/methods ; Data Interpretation, Statistical ; Flow Cytometry/methods ; Flow Cytometry/standards ; Gene Expression Profiling/methods ; Humans ; Immunophenotyping/methods ; Models, Statistical ; Organ Specificity ; Reproducibility of Results ; Workflow
    Sprache Englisch
    Erscheinungsdatum 2017-03-23
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-4939-7346-0_2
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: Analysis of the multiparametric cell cycle data.

    Jacobberger, James W / Sramkoski, R Michael / Stefan, Tammy / Bray, Chris / Bagwell, C Bruce

    Methods in cell biology

    2024  Band 186, Seite(n) 271–309

    Abstract: This chapter was originally written in 2011. The idea was to give some history of cell cycle analysis before and after flow cytometry became widely accessible; provide references to educational material for single parameter DNA content analysis, ... ...

    Abstract This chapter was originally written in 2011. The idea was to give some history of cell cycle analysis before and after flow cytometry became widely accessible; provide references to educational material for single parameter DNA content analysis, introduce and discuss multiparameter cell cycle analysis in a methodological style, and in a casual style, discuss aspects of the work over the last 40years that we have given thought, performing some experiments, but didn't publish. It feels like there is a linear progression that moves from counting cells for growth curves, to counting labeled mitotic cells by autoradiography, to DNA content analysis, to cell cycle states defined by immunofluorescence plus DNA content analysis, to extraction of cell cycle expression profiles, and finally to probability state modeling, which should be the "right" way to analyze cytometric cell cycle data. This is the sense of this chapter. In 2023, we have updated it, but the exciting, expansive aspects brought about by spectral and mass cytometry are still young and developing, and thus have not been vetted, reviewed, and presented in mature form.
    Mesh-Begriff(e) Cell Cycle ; Humans ; Flow Cytometry/methods ; Animals ; DNA
    Chemische Substanzen DNA (9007-49-2)
    Sprache Englisch
    Erscheinungsdatum 2024-03-26
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ISSN 0091-679X
    ISSN 0091-679X
    DOI 10.1016/bs.mcb.2024.02.021
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Breaking the dimensionality barrier.

    Bagwell, C Bruce

    Methods in molecular biology (Clifton, N.J.)

    2011  Band 699, Seite(n) 31–51

    Abstract: Recent advances in biotechnology have resulted in cytometers capable of performing numerous correlated measurements of cells, often exceeding ten. In the near future, it is likely that this number will increase by fivefold and perhaps even higher. ... ...

    Abstract Recent advances in biotechnology have resulted in cytometers capable of performing numerous correlated measurements of cells, often exceeding ten. In the near future, it is likely that this number will increase by fivefold and perhaps even higher. Traditional analysis strategies based on examining one measurement versus another are not suitable for high-dimensional data analysis because the number of measurement combinations expands geometrically with dimension, forming a kind of complexity barrier. This dimensionality barrier limits cytometry and other technologies from reaching their maximum potential in visualizing and analyzing important information embedded in high-dimensional data.This chapter describes efforts to break through this barrier and allow the visualization and analysis of any number of measurements with a new paradigm called Probability State Modeling (PSM). This new system creates a virtual progression variable based on probability that relates all measurements. PSM can produce a single graph that conveys more information about a sample than hundreds of traditional histograms. These PSM overlays reveal the rich interplay of phenotypic changes in cells as they differentiate. The end result is a deeper appreciation of the molecular genetic underpinnings of ontological processes in complex populations such as found in bone marrow and peripheral blood.Eventually these models will help investigators better understand normal and abnormal cellular progressions and will be a valuable general tool for the analysis and visualization of high-dimensional data.
    Mesh-Begriff(e) Animals ; Bone Marrow Cells/cytology ; Bone Marrow Cells/immunology ; Cell Lineage/physiology ; Flow Cytometry/instrumentation ; Flow Cytometry/methods ; Humans ; Models, Theoretical ; Statistics as Topic
    Sprache Englisch
    Erscheinungsdatum 2011
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-61737-950-5_2
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel: Resident training.

    Bagwell, Charles

    Bulletin of the American College of Surgeons

    2006  Band 91, Heft 4, Seite(n) 66

    Mesh-Begriff(e) General Surgery/education ; Government Regulation ; Internship and Residency ; United States ; Workload/legislation & jurisprudence
    Sprache Englisch
    Erscheinungsdatum 2006-04
    Erscheinungsland United States
    Dokumenttyp Letter
    ZDB-ID 390409-x
    ISSN 0002-8045
    ISSN 0002-8045
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: Analytical procedures

    Bagwell, Chris / Quick, Linda A / Vandervelde, Scott D

    Advances in accounting education : teaching and curriculum innovations Vol. 20 , p. 51-78

    an in-class exercise

    2017  Band 20, Seite(n) 51–78

    Verfasserangabe Chris Bagwell, Linda A. Quick and Scott D. Vandervelde
    Sprache Englisch
    Verlag Emerald
    Erscheinungsort Bingley
    Dokumenttyp Artikel
    ZDB-ID 2147206-3
    ISSN 1085-4622
    Datenquelle ECONomics Information System

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  6. Artikel ; Online: Automated analysis of flow cytometric data for CD34+ stem cell enumeration using a probability state model.

    Herbert, Donald J / Miller, David T / Bruce Bagwell, C

    Cytometry. Part B, Clinical cytometry

    2012  Band 82, Heft 5, Seite(n) 313–318

    Abstract: Background: Flow Cytometry is widely used for enumeration of hematopoietic stem cell (SC) levels in bone marrow, cord blood, peripheral blood, and apheresis products. The ISHAGE single-platform gating method is considered by many to be the standard for ... ...

    Abstract Background: Flow Cytometry is widely used for enumeration of hematopoietic stem cell (SC) levels in bone marrow, cord blood, peripheral blood, and apheresis products. The ISHAGE single-platform gating method is considered by many to be the standard for CD34+ SC enumeration. However, attempts at uniform application of this ISHAGE method have met with only partial success. We propose an automated, multivariate classification approach for SC analysis based on Probability State Modeling™ (PSM). In this study, we compare the results from automated PSM analysis with manual ISHAGE gating analysis as performed by a trained analyst.
    Methods: A total of 258 samples were assayed on BD FACSCanto II flow cytometers using a stain-lyse-no-wash technique. Populations were defined using CD34, CD45, 7-AAD, and light scatter. BD TruCount™ bead tubes were used for absolute SC concentrations. A PSM was designed to classify events into beads, debris, intact-dead cells, and intact-live SC; run unattended and record results.
    Results: The ISHAGE and PSM methods show excellent agreement in estimating the concentration of #SC/μL: slope = 1.009, r² = 0.999. Bland-Altman Analysis for the SC concentration has an average difference (bias) of 2.018 SC/μL. The 95% confidence interval is from -59.350 to 63.380 SC/μL. The operator-to-operator agreement using PSM is perfect: r² = 1.000.
    Conclusions: Automated PSM analysis of SC listmode data produces results that agree strongly with ISHAGE gate-based results. The PSM approach provides higher reproducibility, objectivity, and speed with accuracy at least equivalent to the ISHAGE method.
    Mesh-Begriff(e) Antigens, CD34/metabolism ; Automation, Laboratory ; Cell Count ; Data Interpretation, Statistical ; Flow Cytometry/methods ; Humans ; Linear Models ; Probability ; Stem Cells/cytology ; Stem Cells/metabolism
    Chemische Substanzen Antigens, CD34
    Sprache Englisch
    Erscheinungsdatum 2012-09
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2099657-3
    ISSN 1552-4957 ; 1552-4949 ; 0196-4763
    ISSN (online) 1552-4957
    ISSN 1552-4949 ; 0196-4763
    DOI 10.1002/cyto.b.21032
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: Automated quantitation of fetomaternal hemorrhage by flow cytometry for HbF-containing fetal red blood cells using probability state modeling.

    Wong, L / Hunsberger, B C / Bruce Bagwell, C / Davis, B H

    International journal of laboratory hematology

    2013  Band 35, Heft 5, Seite(n) 548–554

    Abstract: Background: Flow cytometric methods (FCMs) are the contemporary standard for fetal red blood cell (RBC) quantitation and fetomaternal hemorrhage (FMH) detection. FCM provides greater sensitivity and repeatability relative to manual microscopic Kleihauer- ...

    Abstract Background: Flow cytometric methods (FCMs) are the contemporary standard for fetal red blood cell (RBC) quantitation and fetomaternal hemorrhage (FMH) detection. FCM provides greater sensitivity and repeatability relative to manual microscopic Kleihauer-Betke methods. FCM assays are not totally objective, employing subjective manual gating of fetal RBCs with measureable interobserver imprecision. We investigated Probability State Modeling to automate analysis of fetal RBCs using an assay for hemoglobin F (HbF)-containing RBCs.
    Methods: Two hundred human bloods were processed using the FMH QuikQuant™ assay (Trillium Diagnostics, Brewer, ME, USA). A Probability State Model (PSM) was designed to enumerate fetal RBCs by selecting the three RBCs subpopulation based on differences in intensity levels of several parameters. The GemStone™ program uses a PSM that requires no operator intervention. Routine manual analysis by experienced users was performed, along with replicate analyses for both methods.
    Results: The PSM by GemStone™ correlates strongly with the expert manual analysis, r(2) = 0.9986. The mean absolute difference of the FMH results between GemStone™ and manual 'expert' analysis was 0.04% with no intermethod bias detected. Manual gating demonstrated coefficient of variations (CVs) of 10.6% for intra-analyst replicates and 22.6% for interanalyst imprecision. The interanalyst agreement in GemStone™ is a perfect correlation, r(2) = 1.00, and no imprecision with a 0.00% CV.
    Conclusion: Automated PSM analysis of fetal RBCs strongly correlates with expert traditional manual analysis. PSM enumerates fetal RBCs accurately with significantly greater objectivity and lower imprecision than the traditional manual gating method. Thus, PSM provides a means to markedly improve interlaboratory variance with FMH assays based upon subjective gating strategies.
    Mesh-Begriff(e) Erythrocytes/metabolism ; Female ; Fetal Blood/cytology ; Fetal Hemoglobin/metabolism ; Fetomaternal Transfusion/diagnosis ; Flow Cytometry/methods ; Humans ; Models, Statistical ; Pregnancy ; Probability ; Reproducibility of Results
    Chemische Substanzen Fetal Hemoglobin (9034-63-3)
    Sprache Englisch
    Erscheinungsdatum 2013-10
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2268590-X
    ISSN 1751-553X ; 1751-5521 ; 0141-9854
    ISSN (online) 1751-553X
    ISSN 1751-5521 ; 0141-9854
    DOI 10.1111/ijlh.12060
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel: Hyperlog-a flexible log-like transform for negative, zero, and positive valued data.

    Bagwell, C Bruce

    Cytometry. Part A : the journal of the International Society for Analytical Cytology

    2005  Band 64, Heft 1, Seite(n) 34–42

    Abstract: Background: The remarkable success of cytometry over the past 30 years is largely due to its uncanny ability to display populations that vastly differ in numbers and fluorescence intensities on one scale. The log transform implemented in hardware as a ... ...

    Abstract Background: The remarkable success of cytometry over the past 30 years is largely due to its uncanny ability to display populations that vastly differ in numbers and fluorescence intensities on one scale. The log transform implemented in hardware as a log amplifier or in software normalizes signals or channels so that these populations appear as clearly discernible peaks. With the advent of multiple fluorescence cytometry, spectral crossover compensation of these signals has been necessary to properly interpret the data. Unfortunately, because compensation is a subtractive process, it can produce negative and zero valued data. The log transform is undefined for these values and, as a result, forces computer algorithms to truncate these values, creating a few problems for cytometrists. Data truncation biases displays making properly compensated data appear undercompensated; thus, enticing many operators to overcompensate their data. Also, events truncated into the first histogram channel are not normally visible with typical two-dimensional graphic displays, thus hiding a large number of events and obscuring the true proportionality of negative distributions. In addition, the log transform creates unequal binning that can dramatically distort negative population distributions.
    Methods and results: The HyperLog transform is a log-like transform that admits negative, zero, and positive values. The transform is a hybrid type of transform specifically designed for compensated data. One of its parameters allows it to smoothly transition from a logarithmic to linear type of transform that is ideal for compensated data.
    Conclusions: The HyperLog transform is easily implemented in computer systems and results in display systems that present compensated data in an unbiased manner.
    Mesh-Begriff(e) Algorithms ; Computer Simulation ; Flow Cytometry/methods ; Mathematics ; Signal Processing, Computer-Assisted ; Software
    Sprache Englisch
    Erscheinungsdatum 2005-03
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2099868-5
    ISSN 1552-4930 ; 1552-4922 ; 0196-4763
    ISSN (online) 1552-4930
    ISSN 1552-4922 ; 0196-4763
    DOI 10.1002/cyto.a.20114
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel: DNA histogram analysis for node-negative breast cancer.

    Bagwell, C Bruce

    Cytometry. Part A : the journal of the International Society for Analytical Cytology

    2004  Band 58, Heft 1, Seite(n) 76–78

    Mesh-Begriff(e) Breast Neoplasms/classification ; Breast Neoplasms/diagnosis ; Breast Neoplasms/genetics ; DNA, Neoplasm/analysis ; Flow Cytometry/instrumentation ; Flow Cytometry/methods ; Flow Cytometry/standards ; Humans ; Lymph Nodes/pathology ; Lymphatic Metastasis/pathology ; Ploidies
    Chemische Substanzen DNA, Neoplasm
    Sprache Englisch
    Erscheinungsdatum 2004-03
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2099868-5
    ISSN 1552-4930 ; 1552-4922 ; 0196-4763
    ISSN (online) 1552-4930
    ISSN 1552-4922 ; 0196-4763
    DOI 10.1002/cyto.a.90004
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  10. Buch ; Online: Friendships in childhood & adolescence

    Bagwell, Catherine / Schmidt, Michelle E

    (The Guilford series on social and emotional development)

    2011  

    Abstract: Highly readable and comprehensive, this volume explores the significance of friendship for social, emotional, and cognitive development from early childhood through adolescence. The authors trace how friendships change as children age and what specific ... ...

    Titelvarianten Friendships in childhood and adolescence
    Körperschaft ebrary, Inc
    Verfasserangabe Catherine L. Bagwell, Michelle E. Schmidt
    Serientitel The Guilford series on social and emotional development
    Abstract Highly readable and comprehensive, this volume explores the significance of friendship for social, emotional, and cognitive development from early childhood through adolescence. The authors trace how friendships change as children age and what specific functions these relationships play in promoting adjustment and well-being. Compelling topics include the effects of individual differences on friendship quality, how friendship quality can be assessed, and ways in which certain friendships may promote negative outcomes. Examining what clinicians, educators, and parents can do to help children wh
    Mesh-Begriff(e) Adolescent ; Child ; Friends ; Interpersonal Relations/Child
    Schlagwörter Friendship in adolescence ; Friendship in children
    Sprache Englisch
    Umfang Online-Ressource (xvii, 389 p), ill
    Verlag Guilford Press
    Erscheinungsort New York
    Dokumenttyp Buch ; Online
    Anmerkung Includes bibliographical references and index
    ISBN 1283238527 ; 128323923X ; 9781283239233 ; 9781609186463 ; 9781283238526 ; 160918646X
    Datenquelle Katalog der Technische Informationsbibliothek Hannover

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