Becton Dickinson and Company Limited

Sunil S Dalal

Michael D Lock

Ilya Gluhovsky

James E Bishop

Zhenxiang Gong

An apparatus and method for identifying clusters in two-dimensional data by generating a two-dimensional histogram characterized by a grid of bins, determining a density estimate based on the bins, and identifying at least one cluster in the data. A smoothed density estimate is generated using a Gaussian kernel estimator algorithm. Clusters are identified by locating peaks and valleys in the density estimate (e.g., by comparing slope of adjacent bins). Boundaries (e.g., polygons) around clusters are identified using bins after bins are identified as being associated with a cluster. Boundaries can be simplified (e.g., by reducing the number of vertices in a polygon) to facilitate data manipulation.

System for identifying clusters in scatter plots using smoothed polygons with optimal boundaries

The present invention provides instruments for analyzing a multiplicity of fluorescent dyes using a multiplicity of amplifying photodetectors, methods for using the instruments, methods for setting the instrument parameters, and methods for resetting the instrument parameters following a changed in photodetector amplification. The present invention is particularly applicable in the field of flow cytometry.

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Hayward, CA, United States of America

Sunil S Dalal