Flow Cytometry Data Analysis. Basic Concepts and Statistics
نویسندگان
چکیده
منابع مشابه
Flow cytometry: basic principles and applications.
Flow cytometry is a sophisticated instrument measuring multiple physical characteristics of a single cell such as size and granularity simultaneously as the cell flows in suspension through a measuring device. Its working depends on the light scattering features of the cells under investigation, which may be derived from dyes or monoclonal antibodies targeting either extracellular molecules loc...
متن کاملAutoGate: automating analysis of flow cytometry data.
Nowadays, one can hardly imagine biology and medicine without flow cytometry to measure CD4 T cell counts in HIV, follow bone marrow transplant patients, characterize leukemias, etc. Similarly, without flow cytometry, there would be a bleak future for stem cell deployment, HIV drug development and full characterization of the cells and cell interactions in the immune system. But while flow inst...
متن کاملFlow cytometry data analysis using Bioconductor - A typical work flow
The advent of high throughput techniques has resulted in the generation of large flow cytometry (FCM) data sets. Along with the task of acquiring the data comes the task of storing, managing, quality control, data analysis and data summarization to a condensed form that can be interpreted by the researcher. Open source Bioconductor packages for analysis of flow cytometry data provides a unified...
متن کاملPublishing flow cytometry data.
Cellular measurements by flow cytometric analysis constitute an important step toward understanding individual attributes within a population of cells. Assessing individual cells within a population by protein expression using fluorescently labeled antibodies and other fluorescent probes can identify cellular patterns. The technology for accurately identifying subtle changes in protein expressi...
متن کاملA novel statistical analysis and interpretation of flow cytometry data
A recently developed class of models incorporating the cyton model of population generation structure into a conservation-based model of intracellular label dynamics is reviewed. Statistical aspects of the data collection process are quantified and incorporated into a parameter estimation scheme. This scheme is then applied to experimental data for PHA-stimulated CD4+T and CD8+T cells collected...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Clinical Pathology
سال: 1993
ISSN: 0021-9746
DOI: 10.1136/jcp.46.10.975-c