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Optimizing Cell Counting for Electroporation by p.viaa is a document available to read on EtoBox.
This study presents a novel approach for optimizing parameters in an automated cell counting tool used to determine electroporation efficiency in phase contrast images. By employing artificial neural networks, the researchers achieved a 90.31% agreement in cell counting accuracy compared to manual methods, significantly reducing counting time. The technique is applicable to both phase contrast and fluorescent images, enhancing the evaluation of electroporation in biomedical applications.
- Author
- p.viaa
- Language
- EN