In a paper by R.L. Mann et al. (6), the authors dealt with a principal step in processing spectroscopic histograms. They considered the so-called mixture problem for the univariate normal case using the statistical approach. Given a histogram where the XkcR are the variate values defining the histo
Parametric analysis of histograms measured in flow cytometry
β Scribed by Dr. R. C. Mann; R. E. Hand Jr.; G. R. Braslawsky
- Publisher
- John Wiley and Sons
- Year
- 1983
- Tongue
- English
- Weight
- 534 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0196-4763
No coin nor oath required. For personal study only.
β¦ Synopsis
Flow cytometric histograms frequently consist of several components that show various degrees of overlap. For many types of analysis it is of great importance to decompose the original histogram into its components. To that purpose, we investigated the maximum likelihood approach in detail. It is shown that the iterative method to solve the maximum likelihood equations is well behaved for a variety of initial values. Algorithms to obtain initial values are presented, and the performance of the method is tested when applied to the analysis of DNA measurements from heterogeneous cell populations that differ with respect to DNA content.
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