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

Aliasing

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...

Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...

You might also read

Related Articles

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

Sort by

Same author

Improved mean squared displacement analysis for anomalous single particle trajectories.

Biophysical journal·2026

Same author

The bridges evolution built: In search of mechanisms that couple scales of perception and action.

Bio Systems·2026

Same author

The movement imperative: reimagining healthcare through the lens of human movement.

Frontiers in sports and active living·2026

Same author

Reversal of tracer advection and Hall drift in an interacting chiral fluid.

Physical review. E·2026

Same author

Marr's ghost.

Neuroscience and biobehavioral reviews·2026

Same author

Subtle to significant: Enhancing heaviness perception with stochastic resonance.

Journal of experimental psychology. Human perception and performance·2026

Search research articles

Related Experiment Video

Updated: Jun 26, 2025

$Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy$

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

Multifractal spectral features enhance classification of anomalous diffusion.

Henrik Seckler¹, Ralf Metzler^1,2, Damian G Kelty-Stephen³

¹Institute for Physics & Astronomy, University of Potsdam, 14476 Potsdam-Golm, Germany.

Physical Review. E

|May 17, 2024

Summary

Multifractal spectral features effectively distinguish anomalous diffusion models. Neural networks trained on these features, especially from single spectra, show high accuracy in classifying complex diffusion processes.

More Related Videos

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Related Experiment Videos

Last Updated: Jun 26, 2025

$Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy$

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

Physics
Complex Systems
Data Science

Background:

Anomalous diffusion processes exhibit nonstandard scaling, challenging their classification.
A prior study established a multifractal formalism framework for anomalous diffusion.

Purpose of the Study:

To evaluate multifractal spectral features for distinguishing anomalous diffusion trajectories.
To assess the performance of neural networks using these features against five standard models.

Main Methods:

Generated 10^6 trajectories from five anomalous diffusion models.
Extracted multiple multifractal spectra per trajectory.
Analyzed neural network performance with varying feature sets and integrated multifractal spectra.

Main Results:

Moving-window and p-variation features yielded high classification accuracy.
Multifractal spectral features, particularly from three spectra, showed strong discriminatory potential.
A neural network trained solely on one multifractal spectrum outperformed other feature groups.

Conclusions:

Multifractal spectral features significantly enhance machine learning classification of anomalous diffusion.
Single multifractal spectra possess potent discriminatory power for complex diffusion analysis.