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Cell Autophagy

Autophagy is a conserved cellular recycling process in eukaryotes that removes unnecessary or damaged components via a lysosome-dependent mechanism. It plays a crucial role in cell survival and maintenance and dysfunction in autophagy is linked to various human diseases (Parzych et al. 2014).

Assays using fluorescent dyes to label autophagosomes are widely available (Ding and Hong 2020) and can be efficiently analyzed with the Image-Pro Autophagy Protocol, enabling large-scale data analysis in complex formats like multi-well plates, even with minimal image analysis experience.

Techniques: Fluorescence

How it works

Select Channel

Select the channel that contains labeled cells (this can be a cellular or nuclear dye) and the channel that contains labeled autophagosomes.

Find Cells

Find cells or nuclei with either a Pre-Trained Deep Learning Model, Machine Learning, or Threshold Segmentation.

Find Autophagosomes

Find autophagosomes with either 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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