Publications and Presentations
Verity Software House has a rich heritage of research publications in the
field of flow cytometry. This page lists a few of the publications to
which Verity has contributed. Where possible, we have provided links to
the periodicals listed.
We also produce white papers and lecture notes on a broad range of topics in flow cytometry. These are available directly from this site.
Recent Presentations and Posters |
| A Novel Modeling System for Analysis of High Dimensional data:
Definition of T-cell Effector and Memory Subsets Using GemStone Software |
This poster by Inokuma, Trotter, et al, explores the use of GemStone for analyzing high-dimensional T-Cell data.
Presented at the CYTO 2010 conference in Seattle, WA, USA. |
| Improved algorithms for the analysis and classification
of HbF-containing Red Blood Cells |
This poster by Davis, Hunsberger, et al, compares traditional analysis approaches with GemStone analysis for Fetal Maternal Hemorrhage.
Presented at the CYTO 2010 conference in Seattle, WA, USA. |
| Multi-parametric Cell Cycle Analysis: A comparison of transition state-related cluster
and probability state analyses |
This poster by Bray, Bagwell, et al, compares GemStone state analysis with a gate-based analysis of DNA, cyclins A2 and B1, and phospho-S10-histone H3.
Presented at the CYTO 2010 conference in Seattle, WA, USA. |
| Probability State Modeling Analysis of CD38, CD10, and CD19
Up-regulation in Early Human B-Cell Development |
In this poster by Bagwell, Stewart, et al, Probability State Modeling was used to determine the relative order of CD38,
CD19, and CD10 up-regulation for a number of uninvolved bone marrow specimens.
Presented at the CYTO 2010 conference in Seattle, WA, USA. |
White Papers, Lectures, Pre-prints |
| Polychromatic flow cytometry: A rapid method for the reduction and
analysis of complex multiparameter data |
This paper by Petrausch, Haley, et al, describes a
powerful multiparameter analysis approach using WinList's FCOM function
to reduce greatly the complexity of analyzing high-dimensional data. |
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| HyperLogTM
- A Flexible Log-like Transform for Negative, Zero, and Positive Valued
Data |
Pre-print of a peer-reviewed article in Cytometry 2005,
focused on ways to display data for flow cytometry. |
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| A
Journey Through Flow Cytometric Immunofluorescence Analysis |
Pre-print of article by C. Bruce Bagwell from Clinical
Immunology Newsletter, Vol 16, Number 3, 1996 |
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| Super
Enhanced D-Value |
The mathematics behind the Super Enhanced D-Value (SED)
calculation. |
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| Using
FCOM for Subset Analysis |
Explains this easy-to-use WinList feature |
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| Enhanced Proliferation Analysis |
Integrates WinList and ModFit LT |
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| Effects of Resolution Reduction on Data
Analysis |
Pre-print of a peer-reviewed article in Cytometry 2003,
describing a new resolution reduction algorithm |
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| Linear to Log Data Conversions |
Explores linear-to-log data conversions in WinList |
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| Examination of DNA Guidelines |
Examines several critical criteria for DNA analysis |
A Sampling of Peer-Reviewed Publications |
Contact us for a more complete listing.
DNA/Cell Cycle Analysis As Prognostic Indicators in Breast Tumors Revisited,
Clinics in Laboratory Medicine,
2001.
Optimizing Flow Cytometric DNA Ploidy and S-Phase Fraction
as Independent Prognostic Markers for Node-Negative Breast Cancer Specimens,
Communications in Clinical
Cytometry, Vol 46:3, pps 121-135, 2001.
Data File Standard for Flow Cytometry, Version FCS3.0,
Cytometry Originally
in 1990 ;11(3):323-32, Version 3.0 in 1996.
Fetal RBC detection,
Laboratory Hematology 2:49, 1996.
Flow cytometric detection of fetal hemoglobin (Hb F) containing red blood
cells,
International Journal
of Hematology 64:S157, 1996.
A Journey through Flow Cytometric Immunofluorescence Analyses -
Finding Accurate and Robust Algorithms that Estimate Positive Fraction
Distributions,
Clinical Immunology Newsletter, Vol. 16, No. 3, 1996.
A new homogeneous assay system for specific nucleic acid sequences: poly-dA and poly-A detection,
Nucleic Acids Research, Vol: 22, No. 12, 242-2425, 1994.
Guidelines for implementation of clinical DNA cytometry,
Cytometry, 14(5):472-7, 1993.
Software Spectral Overlap Compensation For Any Number of Flow Cytometry
Parameters,
New York Academy of Sciences, .20(677):167-84,1993.
Parathyroid carcinoma: the relationship of nuclear DNA content to clinical
outcome,
Surgery, 113(3):290-6, 1993.
DNA signal splitting improves detection and analysis of tetraploid
populations,
Cytometry, 13(7):787-9, 1992.
DNA Histogram Debris Theory and Compensation,
Cytometry.
12:107-118, 1991.
The
HyperLog™ Transformation for Compensated Data
Presented at the 28th Annual Course in Flow Cytometry, Los Alamos, NM,
USA
June, 2005
Displaying Flow Data
Presented at the Clinical Flow Cytometry Course, XVII, Pittsburgh, Pennsylvania,
USA
September, 2004
Compensation Basics
Presented at ISAC XXII Congress, Montpellier, France,
May, 2004
Breast CA Prognosis
Presented at 27th Annual Course in Flow Cytometry, Bowdoin College, Maine, USA
June, 2004