Cell Transfection (Fluorescence)
Transfection is a powerful method for introducing foreign nucleic acids into eukaryotic cells, enabling applications in studying cellular processes, disease mechanisms, and gene therapy (Chong et al., 2021). While stable transfection involves integrating genetic material into the host genome, transient transfection expresses the material without integration. Transfection efficiency, the proportion of successfully transfected cells, is often measured using fluorescent tags like GFP to identify positive cells.
The Image-Pro Cell Transfection protocol simplifies transfection analysis by leveraging deep learning to identify fluorescently labeled cells. It supports large-scale data analysis in complex formats, such as multi-well plates, requiring little to no image analysis expertise.
Techniques: Fluorescence
How it works
Select Channel
Select the channels that contain labeled cells or nuclei and labeled recombinant protein.
Find Cells or Nuclei
Find cells or nuclei with a pre-trained deep learning model, machine learning, or threshold segmentation.
Find Recombinant Protein
Find labeled recombinant protein with either machine learning or threshold segmentation.
Quantitative results
Automatically generate tables, heat maps, charts and even complex bespoke reports.
Measurement parameters supported
- • Cell Count
- • Transfected Count
- • Transfected Percentage
- • Custom user defined measurements
Solution requirements
Required Modules
Base
2D Automated Analysis
Cell Biology Protocol Collection
Cell Transfection Protocol
AI Deep Learning
Life Science Models
Fluorescent Cells Model
Recommended Package
Literature spotlight
- Mahkota, K. (2015). Optimization of Transfection of Human Coxsackie and Adenovirus Receptor into Mammalian Cells Mediated by Liposomes-Base Gene Delivery. Life Science Journal, 12(5).
- Wang, W. S., Guo, F. J., Li, C. J., Zhang, Z. D., & Shi, C. H. (2014). Construction and verification of the targeted uPAshRNA lentiviral vector and evaluation of the transfection and silencing rate. Experimental and Therapeutic Medicine, 8(2), 435-441.
- Zhang, C. B., Cao, H. L., Li, Q., Tu, J., Guo, X., Liu, Z., & Zhang, D. (2013). Enhancement effect of ultrasound-induced microbubble cavitation on branched polyethylenimine-mediated VEGF165 transfection with varied N/P ratio. Ultrasound in medicine & biology, 39(1), 161-171.
