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Cytoplasm-Nucleus
Translocation

Eukaryotic cells have a double membrane-bound nucleus, the Nuclear Envelope (NE), which separates genetic material from the cytoplasm. Nuclear pore complexes (NPCs) enable the active transport of proteins and molecules between the two compartments, regulating key cellular processes (Görlich, 1998; Tijana & Anton, 2017).

The distribution of proteins between the nucleus and cytoplasm is critical for understanding cell functions and disease states. The Image-Pro Translocation protocol simplifies this by providing nuclear-to-cytoplasmic fluorescence ratios and other compartment-specific measurements. Compatible with pre-trained deep learning models, it enables high-throughput analysis of complex datasets, such as multi-well plates, with minimal image analysis expertise.

Techniques: Fluorescence

How it works

Select Channel

Select the channels that contain labeled nuclei, cells, and the translocation target.

Find Cells & Nuclei

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

Separate from Background

Separate the translocation target from the background with either threshold segmentation or machine learning.

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

Translocation Protocol

AI Deep Learning

Life Science Models

Fluorescent Nuclei Model

Literature spotlight

RELATED APPS

Request a demo to see how it works

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Download the Cytoplasm-Nucleus
Translocation App

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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