Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Quantitative motion analysis and visualization of cellular structures.

Daniel Gerlich¹, Julian Mattes, Roland Eils

¹Intelligent Bioinformatics Systems, DKFZ, Im Neuenheimer Feld 280, D-69120, Heidelberg, Germany. daniel.gerlich@embl.de

Methods (San Diego, Calif.)

|January 25, 2003

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Rethinking healthcare data interoperability in the age of large language models.

Med (New York, N.Y.)·2026

Same author

CLUES A Comprehensive Workflow for Integrating Geospatial Data in Biomedical Research.

Nature communications·2026

Same author

Single-Cell and Spatial Omics: Methods and Applications.

MedComm·2026

Same author

BRAF<sup>V600E</sup> patient derived colon cancer organoids identify biomarkers of response to EGFR and BRAF inhibition and replicate clinical data.

Journal of experimental & clinical cancer research : CR·2026

Same author

A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts.

The Lancet. Digital health·2026

Same author

Managing workflow executions with WESkit.

Bioinformatics (Oxford, England)·2026

Same journal

An accessible, absorbance-based plate reader assay to assess cumulative exposure of blood plasma & serum to thawed conditions.

Methods (San Diego, Calif.)·2026

Same journal

EC-isHCR: A rapid method for in situ hybridization chain reaction in diverse animal samples.

Methods (San Diego, Calif.)·2026

Same journal

Single-Molecule methods to investigate mechanisms of transcription by RNA polymerase of Mycobacterium tuberculosis.

Methods (San Diego, Calif.)·2026

Same journal

Detection and sequencing of Usutu virus during mosquito surveillance: Use of multiple assays and techniques for identification at low levels.

Methods (San Diego, Calif.)·2026

Same journal

Experimental validation of an AI-driven digital healthcare platform for oral health behavior and plaque assessment among vietnamese children.

Methods (San Diego, Calif.)·2026

Same journal

Zeta potential: An efficient and cost-effective alternative for investigating cell-surface interactions.

Methods (San Diego, Calif.)·2026

See all related articles

Live cell microscopy using green fluorescent protein (GFP) markers generates complex data. Specialized image processing methods are essential for analyzing the dynamic organization of cellular structures and nuclear subcompartments.

Area of Science:

Cell Biology
Biophysics
Microscopy

Background:

Live cell imaging with green fluorescent protein (GFP) enables dynamic studies of cellular structures.
Video microscopy generates complex, time-resolved datasets.
Visual inspection of dynamic imaging data is often insufficient for interpretation.

Purpose of the Study:

To review concepts for automated analysis of multidimensional live cell microscopy data.
To discuss applications in understanding the dynamics of nuclear subcompartments.

Main Methods:

Automated image processing techniques.
Object detection algorithms.
Motion estimation and quantitation methods.
Visualization of dynamic cellular processes.

Related Experiment Videos

Main Results:

Specialized image processing is required for complex live cell imaging data.
Automated analysis facilitates interpretation of dynamic cellular organization.
Methods are applicable to studying nuclear subcompartment dynamics.

Conclusions:

Automated analysis of live cell microscopy data is crucial for understanding cellular dynamics.
These methods enhance the study of dynamic organization in nuclear subcompartments.