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Cell Transfection (Label-Free)

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). Stable transfection involves integrating genetic material into the host genome, while transient transfection allows temporary expression without integration. Measuring transfection efficiency, the proportion of successfully transfected cells, is often crucial.

Fluorescent proteins like GFP are commonly used to identify transfected cells. The Image-Pro Cell Transfection (Label-Free) protocol simplifies this process by leveraging deep learning to analyze unlabeled cells (e.g., in phase contrast or DIC images) and efficiently handle complex datasets, such as multi-well plates, with little to no image analysis experience.

Techniques: Brightfield

How it works

Select Channel

Select the channel that contains label free cells and the channel that contains a labeled recombinant protein.

Find Cells

Find cells with either a pre-trained deep learning model or machine learning.

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

Solution requirements

Required Modules

Base

2D Automated Analysis

Cell Biology Protocol Collection

Cell Transfection Protocol

AI Deep Learning

Life Science Models

Label Free Cells Model

Literature spotlight

RELATED APPS

Request a demo to see how it works

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Apps are designed for customers with a registered copy of Media Cybernetics software. Please review the App Center specifications tab to ensure your software is supported. To download the App, please fill out the form below.

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