Abstract
Controlling electroporation and determination of its design parameters govern the performance in many electroporation applications in the fields of medicine, biology, and food industry. This work provides an enhanced high throughput signal processing method to enable non-expert, objective, automatic and fast analysis of large datasets of microscopic images of high throughput electroporation experiments. This can enable optimal design of vital electroporation parameters including the optimal thresholds for the electric field strength, and the optimal number of pulses. In this work the non-expert visualization platform and the methods are described, and implemented on normal dermal human fibroblasts cell culture.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, CBMS 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 314-318 |
| Number of pages | 5 |
| ISBN (Print) | 9781479944354 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
| Event | 27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 - New York, NY, United States Duration: 27 May 2014 → 29 May 2014 |
Publication series
| Name | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
|---|---|
| ISSN (Print) | 1063-7125 |
Conference
| Conference | 27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 |
|---|---|
| Country/Territory | United States |
| City | New York, NY |
| Period | 27/05/14 → 29/05/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Biological system modeling
- Electroporation
- Image processing
- Light Microscopy
- clustering
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