Conference proceeding
The Large Scale Digital Cell Analysis System and its use in the quantitative analysis of cell populations
2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578), pp.470-475
2002
DOI: 10.1109/MMB.2002.1002377
Abstract
The Large Scale Digital Cell Analysis System (LSDCAS) was designed to analyze large numbers of cells under a variety of experimental conditions. LSDCAS is an automated microscope system capable of monitoring of the order of 1000 microscope fields over time intervals of up to one month. Although LSDCAS was originally designed to study stress-induced mitotic catastrophe, current efforts aim to provide imaging and data modeling/visualization technologies that will be useful in many areas of biological research. Several collaborative projects with University of Iowa researchers are underway involving the study of alterations in cell motility associated with metastasis; determination of the fate of cells which overproduce pro-oxidants, as well as the development of software to automatically determine the mode of cell death following exposure to cytotoxic agents. Ongoing extension of the capabilities of LSDCAS using image segmentation techniques based upon active appearance models will allow for the measurement of a variety of cellular endpoints. This report details our ongoing studies using LSDCAS; in particular its use in the quantitation of cell motility is described. Following these preliminary analyses, the report ends with a discussion of current development of LSDCAS to provide real-time fluorescence-based analysis of pro-oxidant production in cultured cells.
Details
- Title: Subtitle
- The Large Scale Digital Cell Analysis System and its use in the quantitative analysis of cell populations
- Creators
- F Ianzini - University of IowaL BresnahanL WangK AndersonM.A Mackey
- Resource Type
- Conference proceeding
- Publication Details
- 2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578), pp.470-475
- DOI
- 10.1109/MMB.2002.1002377
- Publisher
- IEEE
- Language
- English
- Date published
- 2002
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984197128202771
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