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

You might also read

Related Articles

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

Sort by
Same author

Curcumin Attenuates Cuproptosis via Activating Autophagy Through Inhibition of the AKT/mTOR/P70S6K-Signaling Pathway in Parkinson's Disease Models.

Molecular neurobiology·2026
Same author

Choroid plexus remodeling linked to impaired CSF-mediated clearance and Alzheimer's disease progression.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

HS-QFNet: Deep learning-enhanced hyperspectral fluorescence correction for accurate <i>in vivo</i> photosensitizer concentration quantification.

iScience·2026
Same author

Preoperative urge urinary incontinence and outcomes after thulium laser enucleation for benign prostatic hyperplasia.

World journal of urology·2026
Same author

Refractory Malignant Arrhythmia in a 4-Year-Old Child With Short QT Syndrome: Persistence for Hope.

JACC. Case reports·2026
Same author

Vertical vessel proportion as a predictor of vascular-targeted photodynamic therapy efficacy in port-wine stains: A prospective observational study.

Journal of the American Academy of Dermatology·2026

Related Experiment Video

Updated: Jul 9, 2025

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.2K

4D spectral-spatial computational photoacoustic dermoscopy.

Yang Gao1,2,3, Ting Feng4, Haixia Qiu5

  • 1Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Smart Computational Imaging Laboratory (SCILab), Nanjing 210094, China.

Photoacoustics
|December 7, 2023
PubMed
Summary

A new computing method enhances photoacoustic dermoscopy (PAD) imaging for accurate skin condition diagnosis. This 4D spectral-spatial imaging approach optimizes quantitative analysis of skin structures and functions.

Keywords:
4D spectral-spatialLearning from simulationPhotoacoustic dermoscopyQuantitative calculationSkin imaging

More Related Videos

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
11:21

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

11.6K
Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization
07:14

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Published on: July 15, 2020

4.1K

Related Experiment Videos

Last Updated: Jul 9, 2025

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.2K
Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
11:21

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

11.6K
Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization
07:14

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Published on: July 15, 2020

4.1K

Area of Science:

  • Biomedical optics
  • Medical imaging
  • Dermatology

Background:

  • Photoacoustic dermoscopy (PAD) is an emerging non-invasive imaging technique for diagnosing skin conditions.
  • Quantitative accuracy in PAD imaging is limited by factors like skin optical/acoustic properties and light/ultrasound parameters.
  • Optimizing PAD requires understanding light-tissue interactions and ultrasound detection in complex skin structures.

Purpose of the Study:

  • To develop a computational method for quantitative analysis and optimization of PAD imaging.
  • To enable accurate spectral-spatial imaging of multilayered skin tissues.
  • To improve the clinical predictability of photoacoustic data for human skin.

Main Methods:

  • Developed a four-dimensional (4D) spectral-spatial imaging computational method for PAD.
  • Incorporated optical and acoustic properties of heterogeneous skin tissues into the model.
  • Utilized experimental data and simulation datasets to train neural networks for image quality enhancement.

Main Results:

  • The 4D method accounts for skin optical/acoustic properties, correcting light and ultrasound fields.
  • Enabled accurate single-spectrum and multi-spectral imaging solutions for multilayered skin.
  • Neural network training improved PAD system imaging quality using diverse datasets.

Conclusions:

  • The developed computational method significantly contributes to the development and optimization of clinical PAD systems.
  • Provides accurate quantitative analysis for structural and functional skin imaging.
  • Offers clinical predictability for photoacoustic data in human skin diagnostics.