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Microtubules

Microtubules

There are three types of cytoskeletal structures in eukaryotic cells—microfilaments, intermediate filaments, and microtubules. With a diameter of about 25 nm, microtubules are the thickest of these fibers. Microtubules carry out a variety of functions that include cell structure and support, transport of organelles, cell motility (movement), and the separation of chromosomes during cell division.

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Measurement of Microtubule Dynamics by Spinning Disk Microscopy in Monopolar Mitotic Spindles

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Published on: November 15, 2019

A Web Interface for the Quantification of Microtubule Dynamics.

Koon Yin Kong¹, Adam I Marcus², Paraskevi Giaanakakou³

¹School of Electrical and Computer Engineering, Georgia Institute of Technology, USA.

IEEE International Conference on Bioinformatics and Biomedicine Workshops. IEEE International Conference on Bioinformatics and Biomedicine

|September 2, 2016

Summary

Researchers can now quantify and analyze microtubule confocal images online with a new web interface. This tool facilitates data sharing and collaboration, improving microtubule image analysis workflows.

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Area of Science:

Cell Biology
Microscopy
Bioinformatics

Background:

Microtubule confocal image analysis is often manual and fragmented.
Local storage of analysis results hinders data sharing and collaboration.
Existing methods lack standardization and efficient data exchange.

Purpose of the Study:

To develop a web-based interface for online quantification and analysis of microtubule confocal images.
To streamline data and results sharing among research collaborators.
To integrate existing and novel automated analysis algorithms.

Main Methods:

Development of a user-friendly web interface for image analysis.
Implementation of analysis workflows mirroring manual protocols.
Integration of image processing algorithms for enhanced analysis.
Design for incorporating novel automated analysis modules.

Main Results:

The web interface enables online processing of microtubule confocal images.
It facilitates seamless sharing of image data and analysis results.
The platform supports the integration and validation of new automated algorithms.

Conclusions:

The proposed web interface simplifies and standardizes microtubule image analysis.
It enhances collaborative research by enabling easy data and results sharing.
The platform serves as a validation hub for new automated analysis techniques.