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

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,...

You might also read

Related Articles

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

Sort by
Same author

Identification of the gene cluster for the dithiolopyrrolone antibiotic holomycin in Streptomyces clavuligerus.

Proceedings of the National Academy of Sciences of the United States of America·2010
Same author

Safety evaluation of tea (Camellia sinensis (L.) O. Kuntze) flower extract: assessment of mutagenicity, and acute and subchronic toxicity in rats.

Journal of ethnopharmacology·2010
Same author

Influences of soil properties and leaching on nickel toxicity to barley root elongation.

Ecotoxicology and environmental safety·2010
Same author

Effects of CO2 insufflation on cerebrum during endoscopic thyroidectomy in a porcine model.

Surgical endoscopy·2010
Same author

Plants' use of different nitrogen forms in response to crude oil contamination.

Environmental pollution (Barking, Essex : 1987)·2010
Same author

Overexpression of p35 in Min6 pancreatic beta cells induces a stressed neuron-like apoptosis.

Journal of the neurological sciences·2010
Same journal

Serum vitamin D level and its association with vertigo frequency and severity in Meniere disease.

Scientific reports·2026
Same journal

PFA-Net: a physics-informed feature enhancement and attention network for interpretable bearing fault diagnosis under strong noise.

Scientific reports·2026
Same journal

Circulating inflammatory, redox, and apoptosis-related alterations in drug-naive idiopathic pulmonary fibrosis: an exploratory case-control study.

Scientific reports·2026
Same journal

A baseline-oriented dynamic aggregation approach for demand-side heterogeneous controllable resources.

Scientific reports·2026
Same journal

Temporal precision and accuracy in schizophrenia: an exploratory study.

Scientific reports·2026
Same journal

Prefrontal EEG spectral and nonlinear signatures of subthreshold depression during resting state and affectively valenced picture/video viewing: a participant-level analysis.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jun 7, 2026

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.5K

DC-Mamba for surface micro defect classification on large aperture optics with multi axis attention.

Dejin Zhao1, Rui Sun1, Tong Tong2,3

  • 1College of Engineering, Yanbian University, Yanbian, 133002, China.

Scientific Reports
|October 31, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces DC-Mamba, an improved Mamba-based method for detecting surface micro-defects on large-aperture optics. It enhances defect classification accuracy, offering a robust solution for intelligent optical system maintenance.

Keywords:
Large-aperture opticsMicro-defect detectionMulti-Axis channel and spatial Attention(MACSA)Visual state space model

More Related Videos

Control of Cell Geometry through Infrared Laser Assisted Micropatterning
11:04

Control of Cell Geometry through Infrared Laser Assisted Micropatterning

Published on: July 10, 2021

3.8K
Using Laser Scanning Microscopy to Determine Electromigration in Molybdenum Disilicide
09:41

Using Laser Scanning Microscopy to Determine Electromigration in Molybdenum Disilicide

Published on: May 23, 2025

555

Related Experiment Videos

Last Updated: Jun 7, 2026

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.5K
Control of Cell Geometry through Infrared Laser Assisted Micropatterning
11:04

Control of Cell Geometry through Infrared Laser Assisted Micropatterning

Published on: July 10, 2021

3.8K
Using Laser Scanning Microscopy to Determine Electromigration in Molybdenum Disilicide
09:41

Using Laser Scanning Microscopy to Determine Electromigration in Molybdenum Disilicide

Published on: May 23, 2025

555

Area of Science:

  • Optical Engineering
  • Materials Science
  • Computer Vision

Background:

  • Micro-defects on large-aperture optics degrade system performance.
  • Existing defect detection methods struggle with small, numerous, and complex defects.

Purpose of the Study:

  • To develop an advanced defect classification method for surface micro-defects on large-aperture optics.
  • To improve the accuracy and reliability of intelligent defect detection systems.

Main Methods:

  • Proposed DC-Mamba, an improved Mamba-based defect classification model.
  • Introduced Multi-axis Interactive 2D Selective Scan (MISS2D) and Multi-axis Interactive Feature Pyramid Network (MIFPN).
  • Coordinated modeling of positional, hierarchical, spatial, and channel-wise features.

Main Results:

  • DC-Mamba with MACSA improved Average Precision (AP) from 41.7% to 45.7% on the NEU-DET dataset.
  • AP50 increased from 72.2% to 74.7% on the NEU-DET dataset compared to VMamba.
  • Achieved an AP of 64.3% on a self-made optic surface micro-defect (OSMD) dataset.

Conclusions:

  • DC-Mamba effectively distinguishes micro-defects from interference points.
  • The method provides a robust solution for intelligent detection of defects on large-aperture optics surfaces.
  • Enhanced modeling capabilities improve defect classification accuracy.