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

Related Concept Videos

Studying the Cytoskeleton

Studying the Cytoskeleton

The cytoskeletal architecture can be studied using different microscopic and biochemical techniques. Electron microscopy was instrumental in discovering the cytoskeletal architecture around the 1960s, which allowed obtaining structural information at a high-resolution level. However, the sample preparation procedure often limits this ability in biological samples. Several protocols have been developed over the years to optimize sample preparation. In one of the protocols known as rotary...

You might also read

Related Articles

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

Sort by

Same author

Transport model for the propagation of partially coherent, partially polarized, polarization-gradient vector beams.

Journal of the Optical Society of America. A, Optics, image science, and vision·2023

Same author

Assessing Postconcussive Reaction Time Using Transport-Based Morphometry of Diffusion Tensor Images.

AJNR. American journal of neuroradiology·2019

Same author

Transport-based model for turbulence-corrupted imagery.

Applied optics·2018

Same author

Localizing and extracting filament distributions from microscopy images.

Journal of microscopy·2015

Same author

The nucleus as a central structure in defining the mechanical properties of stem cells.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2010

Same author

Chaotic signal detection and estimation based on attractor sets: applications to secure communications.

Chaos (Woodbury, N.Y.)·2008

Search research articles

Related Experiment Video

Updated: May 13, 2026

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Localizing and extracting filament distributions from microscopy images.

S Basu¹, K N Dahl, G K Rohde

¹Center for Bioimage Informatics, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.

Journal of Microscopy

|March 6, 2013

Summary

Researchers developed a new method to accurately measure biological filament networks from microscopy images. This technique improves understanding of cell structure and its role in diseases like cancer.

More Related Videos

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

Related Experiment Videos

Last Updated: May 13, 2026

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

Area of Science:

Cell Biology
Biophysics
Microscopy Imaging

Background:

Quantitative analysis of biological filament networks is vital for understanding cellular architecture and function.
Current methods for analyzing filament networks from microscopy images are often imprecise, relying on visual estimation or indirect inference.
Confocal microscopy images are a key source for studying these networks, but extracting detailed structural information remains challenging.

Purpose of the Study:

To introduce a novel computational method for precise localization and extraction of filament distributions from 2D confocal microscopy images.
To improve the accuracy and robustness of quantitative analysis of biological filament networks.
To demonstrate the method's utility in biological research, including the study of nanotube effects on cellular structures.

Main Methods:

A hybrid approach combining filter-based pixel detection with constrained reverse diffusion for accurate filament centerline localization.
Validation using both simulated and real microscopy data to compare performance against existing methods.
Application to analyze the impact of carbon nanotubes on the actin cytoskeleton in live HeLa cells.

Main Results:

The new method provides more accurate filament centerline estimates compared to existing approaches.
The algorithm demonstrates increased robustness against variations in the initial filament detection step.
Quantitative analysis revealed that carbon nanotubes disrupt the actin cytoskeletal organization in HeLa cells.

Conclusions:

The developed method offers a significant advancement in the quantitative analysis of biological filament networks from microscopy data.
This tool enhances the ability to study cellular architecture and its role in biological processes and disease.
The findings highlight the disruptive effects of carbon nanotubes on the actin cytoskeleton, providing valuable insights for nanotoxicology and cell biology research.