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

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

22.1K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
22.1K
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

1.0K
Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Cell Invasion Analysis of Tumor Spheroids Using 2D Image Data.

ACS measurement science au·2026
Same author

Initial Clinical Experience With a Novel 4D Intracardiac Echocardiographic Imaging and Guidance System in Catheter Ablation Procedures.

Journal of cardiovascular electrophysiology·2026
Same author

Deep Learning-Based Quality Control Using Subcellular RNA Spatial Distribution Patterns for Cell Segmentation in Spatial Transcriptomics Data.

Small methods·2025
Same author

Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry.

Journal of neuroimaging : official journal of the American Society of Neuroimaging·2025
Same author

The utility of multi-b-value diffusion and arterial spin labelling magnetic resonance imaging in gliomas grading and prediction of isocitrate dehydrogenase status.

Quantitative imaging in medicine and surgery·2025
Same author

Super-Resolution Compatible DNA Labeling Technique Reveals Chromatin Mobility and Organization Changes During Differentiation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Related Experiment Video

Updated: Apr 11, 2026

High-plex Imaging using Spectral Confocal Microscopy to Minimize Non-specific Tissue Fluorescence
10:28

High-plex Imaging using Spectral Confocal Microscopy to Minimize Non-specific Tissue Fluorescence

Published on: October 28, 2025

875

Performance and sensitivity evaluation of 3D spot detection methods in confocal microscopy.

Karel Štěpka1, Pavel Matula1, Petr Matula1

  • 1Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|June 3, 2015
PubMed
Summary

This study evaluates 3D spot detection methods in fluorescence microscopy. The HDome method is recommended for consistent image quality, while the Sorokin method suits varying image quality, impacting detection performance.

Keywords:
3D imagingdiffraction-limited spot detectionfluorescence microscopyparameter sensitivity

More Related Videos

Conducting Multiple Imaging Modes with One Fluorescence Microscope
08:32

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

10.4K
Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
05:56

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Published on: November 12, 2020

3.4K

Related Experiment Videos

Last Updated: Apr 11, 2026

High-plex Imaging using Spectral Confocal Microscopy to Minimize Non-specific Tissue Fluorescence
10:28

High-plex Imaging using Spectral Confocal Microscopy to Minimize Non-specific Tissue Fluorescence

Published on: October 28, 2025

875
Conducting Multiple Imaging Modes with One Fluorescence Microscope
08:32

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

10.4K
Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
05:56

Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells

Published on: November 12, 2020

3.4K

Area of Science:

  • Microscopy and Imaging
  • Computational Biology
  • Biophysics

Background:

  • Accurate 3D spot detection in fluorescence microscopy is crucial for subcellular analysis.
  • Image noise and background staining significantly challenge reliable spot detection.

Purpose of the Study:

  • To assess the performance and parameter sensitivity of eight recent 3D spot detection algorithms.
  • To evaluate method robustness against varying noise levels and background signals in microscopy data.

Main Methods:

  • Utilized 3D synthetic and real confocal microscopy images generated with a complete imaging simulator.
  • Proposed a novel F1 score gradient magnitude measure for evaluating parameter sensitivity.
  • Assessed detection success rates and parameter sensitivity across diverse image degradation types.

Main Results:

  • Image degradation type critically influences 3D spot detection performance.
  • Parameter sensitivity is not directly proportional to a method's success rate.
  • The best method for synthetic data may not perform optimally on real microscopy images due to differing degradation.

Conclusions:

  • Recommends HDome for consistent image quality and Sorokin for variable image quality in 3D spot detection.
  • Offers alternative recommendations for high-quality images and situations where parameter tuning is resource-intensive.