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

You might also read

Related Articles

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

Sort by
Same author

Correction: A positive feedback loop between TKT and c-Myc drives TACE resistance in hepatocellular carcinoma.

Cell death discovery·2026
Same author

Enhancing Immunity and Gut Microbiota Balance with Black Soldier Fly Larvae (BSFL) Meal: A Sustainable Feed Ingredient That Maintains Growth Performance in Pekin Ducks.

Insects·2026
Same author

Raman evidence for a solvation-heterogeneity-mediated precipitation pathway of sodium sulfate in water-DMSO mixtures.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Identification of targets of clinical FOXA1 mutants involved in EMT and immune suppression in prostate cancer.

Communications biology·2026
Same author

Association of metabolic syndrome with ruptured status of intracranial aneurysms in a definitively treated cohort: a retrospective cohort analysis.

Frontiers in neurology·2026
Same author

RBM10 suppresses porcine epidemic diarrhea virus replication by degrading nonstructural protein 3 through selective autophagy.

Veterinary microbiology·2026

Related Experiment Video

Updated: Mar 22, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

3.0K

A novel multiphoton microscopy images segmentation method based on superpixel and watershed.

Weilin Wu1,2, Jinyong Lin3, Shu Wang1,2

  • 1Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education Fujian Normal University, Fuzhou, Fujian, 350007, China.

Journal of Biophotonics
|April 20, 2016
PubMed
Summary

A new method uses superpixels for multiphoton microscopy (MPM) image segmentation, improving cell boundary extraction accuracy. This approach enhances biomedical diagnosis by providing more robust cellular architectural property analysis from MPM images.

Keywords:
image segmentationmultiphoton microscopyphase congruency featuresuperpixelswatershed

More Related Videos

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.3K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

855

Related Experiment Videos

Last Updated: Mar 22, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

3.0K
Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.3K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

855

Area of Science:

  • Biomedical Imaging
  • Computational Biology
  • Microscopy

Background:

  • Multiphoton microscopy (MPM), utilizing two-photon excited fluorescence (TPEF) and second harmonic generation (SHG), offers advanced biological imaging capabilities.
  • Accurate automatic segmentation of cellular structures in MPM images is crucial for biomedical diagnosis but remains a significant challenge.

Purpose of the Study:

  • To introduce a novel multiphoton microscopy image segmentation method (MSW) that enhances the accuracy and robustness of cell boundary extraction.
  • To leverage superpixel segmentation for improved analysis of cellular architectural properties in MPM data.

Main Methods:

  • The proposed method employs SLIC superpixels for the first time in MPM image analysis, processing image patches instead of individual pixels.
  • A new distance metric combining spatial, CIE Lab color space, and phase congruency features is used for superpixel segmentation, preserving cell boundary details.
  • Reconstructed images are generated using average superpixel intensity values, followed by marker-controlled watershed segmentation to delineate cell boundaries.

Main Results:

  • The MSW method demonstrates effective segmentation of cellular boundaries from complex MPM images.
  • Experimental results confirm higher accuracy and robustness in extracting cellular boundaries compared to traditional pixel-based methods.
  • The superpixel approach successfully retains fine details of cell structures during segmentation.

Conclusions:

  • The novel MSW method offers a significant advancement in automated segmentation for multiphoton microscopy images.
  • This technique improves the analysis of cellular architectural properties, supporting more reliable biomedical diagnosis.
  • The use of superpixels in MPM image segmentation presents a promising direction for future research and applications.