Algorithmic Analysis of Flow Cytometry Data (Part 1) (2014 Scientific Tutorial)
This two-session tutorial will demonstrate the automated analysis of flow cytometry data using five different approaches. Traditional manual gating analysis suffers from poor reproducibility and objectivity, and is very difficult for high-dimensional data. Several algorithms have now been developed, using different approaches that may be more suited to different datasets and biological questions. Five approaches will be highlighted in this tutorial, covering a range of approaches from just identification of targeted or unknown populations, to a full pipeline of data analysis. The tutorials will consist of brief demonstrations of data analysis by each of the approaches. After the tutorials, the students should have an appreciation of the power of automated analysis, the requirements for entering their data into an automated analysis system, and how to choose the most appropriate analysis method for their particular type of data/question.
International Society for Advancement of Cytometry
American Society for Clinical Pathology
This continuing medical laboratory education activity is recognized by the American Society for Clinical Pathology for 1.5 CMLE credit. ASCP CMLE credits are acceptable for the ASCP Board of Registry Certification Maintenance Program.
ISAC Member Price: $0.00