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Cell Autophagy

Autophagy is a conserved cellular recycling process in eukaryotes, responsible for removing unnecessary or damaged components through a lysosome-dependent mechanism. This process is critical for cell survival and maintenance, and its dysfunction is associated with various human diseases (Parzych et al., 2014).

Fluorescent dye-based assays are commonly used to label autophagosomes for analysis (Ding and Hong, 2020). The Image-Pro Autophagy protocol streamlines the analysis of these assays, supporting large-scale data processing in complex formats like multi-well plates. Its intuitive design allows even users with minimal image analysis experience to obtain accurate and reproducible results efficiently.

Techniques: Fluorescence

How it works

Select Channel

Select the channels that contain labeled cells (cellular or nuclear dye) and labeled autophagosomes.

Find Cells

Find cells or nuclei with a pre-trained deep learning model, machine learning, or threshold segmentation.

Find Autophagosomes

Find autophagosomes with a pre-trained deep learning model, 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 Plus Protocol Collection

Cell Autophagy Procol

AI Deep Learning

Life Science Models

Fluorescent Nuclei Model

Literature spotlight

RELATED APPS

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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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