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Protein Dynamics in Living Cells

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Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Published on: June 16, 2014

Automated Analysis of Intracellular Dynamic Processes.

Yao Yao¹, Ihor Smal¹, Ilya Grigoriev²

¹Departments of Medical Informatics and Radiology, Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, 2040, 3000 CA, Rotterdam, The Netherlands.

Methods in Molecular Biology (Clifton, N.J.)

|March 22, 2017

Summary

This study introduces advanced software for analyzing intracellular dynamics using fluorescence microscopy. These tools automate particle tracking and trajectory analysis for better disease understanding and drug development.

Keywords:

Feature extraction Feature visualization Fluorescence microscopy Image analysis Intracellular dynamics Particle tracking Software tools Trajectory analysis

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Automated Detection and Analysis of Exocytosis

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Published on: September 11, 2021

Area of Science:

Cellular biology
Biophysics
Microscopy

Background:

Intracellular dynamics are crucial for understanding diseases and developing therapies.
Advanced fluorescence microscopy provides high-resolution spatiotemporal data.
Analyzing large microscopy datasets requires automated methods.

Purpose of the Study:

To present state-of-the-art software tools for intracellular particle tracking and trajectory analysis.
To enable objective, quantitative descriptions of intracellular dynamics.
To facilitate the development of biophysical models.

Main Methods:

Utilizing advanced fluorescence microscopy imaging systems.
Implementing automated data analysis techniques.
Employing particle tracking and particle trajectory analysis algorithms.

Main Results:

Developed and presented novel software tools for analyzing intracellular dynamics.
Demonstrated the capability of software for super-resolved detail, high sensitivity, and specificity.
Enabled quantitative analysis of large, high-information-content image data.

Conclusions:

The presented software tools significantly advance the analysis of intracellular dynamics.
Automated particle tracking and trajectory analysis are essential for biological discovery.
These tools support the development of new drugs and therapies for various diseases.