Analysis of undesirable drop charge sequences in cell sorting data and their implications in the real world. — Australasian Cytometry Society

Analysis of undesirable drop charge sequences in cell sorting data and their implications in the real world. (24064)

Liz Cooper-Williams 1 , Geoffrey W Osborne 1 2
  1. Queensland Brain Institute, University of Queensland, St. Lucia, Queensland, Australia
  2. Australian Institute for Bioengineering and Nanotechnology, University of Queensland, St. Lucia, Queensland, Australia

 

Electrostatic cell sorting flow cytometers provide an efficient means of separating sub-populations of specific cells from larger pools of cells. The design of the components of these instruments have been gradually developed and optimized over many years to the point where one may have naively thought that there was little room for further advancement. However, this has not been the case with many patent applications demonstrating recent advances in this field. One patent (US 2015/0050688 A1) in particular is of interest as it seeks to identify undesirable drop charge sequences that may occur when performing multi-directional cell sorting experiments that could result in merging of drops. This would cause inaccurate sorting and lower sort purities. This patent pertains to a method of dynamic modification of drop charge application when undesirable drop sequences occur. This presentation will focus on our approach to studying the relevance of this method using actual data recorded during cell sorting experiments and our results to date.

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