A flexible framework for automation of single cell and cell-to-cell interaction analyses

Vivek Nandakumar, Mark R. Holl, Deirdre Meldrum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In general, a formal specification for hardware-software integration is imperative for systematic design of automated systems. This specification requires a critical understanding of hardware and software systems at various levels of abstraction. The objective of the research we present is to develop a framework that serves as a specification for the implementation of an integrated system for the analysis of cell function - a classic application for laboratory automation. The proposed framework addresses a specific set of integrated system requirements comprising the placement of single cells in analysis locations, the analyses of these cells throughout application of external stimuli, and post stimuli end-point analyses of these same cells. The same framework can be directly extended to automate cell-to-cell and tissue analyses. It has been developed using principles from Unified Modeling Language (UML) to maximize potential for integration with other standard laboratory automation systems. The research presented provides the foundation for efficient use of UML with the proposed framework, and serves as an exemplar for others pursuing similar laboratory automation challenges.

Original languageEnglish (US)
Title of host publication4th IEEE Conference on Automation Science and Engineering, CASE 2008
Pages424-430
Number of pages7
DOIs
StatePublished - 2008
Event4th IEEE Conference on Automation Science and Engineering, CASE 2008 - Washington, DC, United States
Duration: Aug 23 2008Aug 26 2008

Publication series

Name4th IEEE Conference on Automation Science and Engineering, CASE 2008

Other

Other4th IEEE Conference on Automation Science and Engineering, CASE 2008
Country/TerritoryUnited States
CityWashington, DC
Period8/23/088/26/08

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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