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Cytoplasm-Nucleus
Translocation

Eukaryotic cells feature a double membrane-bound nucleus, the Nuclear Envelope (NE), which separates genetic material from the cytoplasm. The NE consists of inner and outer membranes (Matsuda & Mofrad, 2022) and is perforated by nuclear pore complexes (NPCs). These NPCs enable the active transport of proteins and other molecules between the nucleus and cytoplasm, regulating essential cellular processes (Görlich, 1998; Tijana & Anton, 2017).

The distribution of proteins and macromolecules between these compartments is crucial for understanding cell cycle stages, disease states, and cell functions. The Image-Pro Translocation protocol simplifies this analysis by providing a nuclear-to-cytoplasmic fluorescence ratio and other compartment-specific intensity measurements. Compatible with pre-trained deep learning models, it facilitates high-throughput analysis of complex data formats, such as multi-well plates, with little to no 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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Translocation App

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