Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

14.8K
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...
14.8K
Upsampling01:22

Upsampling

693
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
693

You might also read

Related Articles

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

Sort by
Same author

Exposure to a combination of heat and hyperoxia during cycling at submaximal intensity does not alter thermoregulatory responses.

Biology of sport·2016
Same author

Effects of Wearing Compression Stockings on the Physical Performance of T2DM Men with MetS.

International journal of sports medicine·2016
Same author

Muscle Oxygenation During Running Assessed by Broad Band NIRS.

Advances in experimental medicine and biology·2016
Same author

Device for simultaneous positron emission tomography, laser speckle imaging and RGB reflectometry: validation and application to cortical spreading depression and brain ischemia in rats.

NeuroImage·2014
Same author

No evidence for early decrease in blood oxygenation in rat whisker cortex in response to functional activation.

NeuroImage·2001
Same journal

Mammalian Respiratory Chain Complex Assemblies and Their Links to Mitochondria Stress-Induced Human Diseases.

Advances in experimental medicine and biology·2026
Same journal

Enzyme Assemblies in Nucleotide Metabolism: Structure, Regulation, and Disease Implications.

Advances in experimental medicine and biology·2026
Same journal

The Pyruvate Dehydrogenase Complex: A 90-Year-Old Enigma Shaping the Future of Structural Enzymology.

Advances in experimental medicine and biology·2026
Same journal

Regulation of the Anti-termination RNA Transcription Complex by Lon-Mediated Lambda N Degradation.

Advances in experimental medicine and biology·2026
Same journal

PCNA Macromolecular Complexes: PCNA Serves as a Molecular Hub Regulating Multiple Cellular Processes Inside and Outside of the Nucleus.

Advances in experimental medicine and biology·2026
Same journal

Dynamic Assemblies in Genome Maintenance.

Advances in experimental medicine and biology·2026
See all related articles

Related Experiment Video

Updated: Mar 27, 2026

Author Spotlight: Advancing Neonatal Cardiac Diagnostics with Echocardiography-Derived Blood Speckle Imaging
07:13

Author Spotlight: Advancing Neonatal Cardiac Diagnostics with Echocardiography-Derived Blood Speckle Imaging

Published on: December 22, 2023

2.1K

Improvement of Speckle Contrast Image Processing by an Efficient Algorithm.

A Steimers1, W Farnung2, M Kohl-Bareis2

  • 1RheinAhrCampus Remagen, University of Applied Sciences Koblenz, Remagen, Germany. steimers@rheinahrcampus.de.

Advances in Experimental Medicine and Biology
|January 20, 2016
PubMed
Summary
This summary is machine-generated.

We developed an efficient algorithm for laser speckle contrast analysis (LASCA) to improve blood flow imaging. This method enhances computational efficiency and allows for independent control of resolution and signal-to-noise ratio.

Keywords:
Blood flowLaser speckle contrast analysisParallel processingPerfusion imagingSpeckle algorithm

More Related Videos

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM
19:16

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Published on: August 5, 2009

16.6K
How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow
05:24

How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow

Published on: November 11, 2010

24.8K

Related Experiment Videos

Last Updated: Mar 27, 2026

Author Spotlight: Advancing Neonatal Cardiac Diagnostics with Echocardiography-Derived Blood Speckle Imaging
07:13

Author Spotlight: Advancing Neonatal Cardiac Diagnostics with Echocardiography-Derived Blood Speckle Imaging

Published on: December 22, 2023

2.1K
Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM
19:16

Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

Published on: August 5, 2009

16.6K
How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow
05:24

How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow

Published on: November 11, 2010

24.8K

Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Computational Science

Background:

  • Laser Speckle Contrast Analysis (LASCA) is crucial for non-invasive blood flow imaging.
  • Existing LASCA algorithms face challenges in computational complexity and resolution independence.
  • Optimizing LASCA is vital for accurate and efficient hemodynamic monitoring.

Purpose of the Study:

  • To present an efficient algorithm for temporal and spatial speckle contrast calculation in LASCA.
  • To reduce the numerical complexity of LASCA computations.
  • To enable independent adjustment of temporal/spatial resolution and signal-to-noise ratio (SNR) in blood flow imaging.

Main Methods:

  • Developed a novel algorithm for speckle contrast calculation in LASCA.
  • Implemented the algorithm for both temporal and spatial analysis.
  • Evaluated performance using various image sizes and pixel recruitment strategies.
  • Tested sequential, multi-core, and many-core implementations.

Main Results:

  • The new algorithm significantly reduces computational complexity for LASCA.
  • Demonstrated independence between temporal/spatial resolution and SNR.
  • Algorithm validated across different image sizes and pixel configurations.
  • Efficient multi-core and many-core implementations were achieved.

Conclusions:

  • The proposed algorithm offers an efficient and flexible approach to LASCA.
  • It enhances the practical application of blood flow imaging.
  • Facilitates advanced parallel computing for improved LASCA performance.