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Related Concept Videos

Imperfections in Crystal Structure: Point, Line and Plane Defects01:25

Imperfections in Crystal Structure: Point, Line and Plane Defects

A perfect crystal, in theory, has a uniform structure with the same unit cell and lattice points throughout. However, any deviation from this periodic arrangement is known as an imperfection or defect. These defects can be categorized into three types: point, line, and plane defects.Point defects occur when there is a deviation from the ideal due to missing atoms, displaced atoms, or additional atoms. These imperfections might occur due to imperfect packing during crystallization or because of...
Imperfections in Crystal Structure: Stoichiometric Point Defects01:26

Imperfections in Crystal Structure: Stoichiometric Point Defects

Schottky defects arise when some lattice points in a crystal, such as those in NaCl, remain unoccupied, creating lattice vacancies without disturbing the overall electrical neutrality of the crystal. This defect is common in ionic crystals where the positive and negative ions are similar in size, as seen in sodium chloride and cesium chloride. The presence of Schottky defects enables the crystal to conduct electricity to a small extent through an ionic mechanism. Electric fields cause nearby...
Glassware Calibration01:11

Glassware Calibration

Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...

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Related Experiment Video

Updated: Jun 6, 2026

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures
04:41

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

Published on: September 2, 2019

Research on glass surface defect detection method based on shadowgraphy imaging and improved YOLOv11n.

Yulu Xue1, Yang Li2, Hongbin Chen1

  • 1Beijing Institute of Graphic Communication, Beijing, 102600, China.

Scientific Reports
|June 4, 2026
PubMed
Summary

This study introduces YOLO-FSA, an improved algorithm for detecting glass surface defects using shadowgraphy. It enhances detection accuracy and efficiency while reducing model size and computational load.

Keywords:
Deep learningDefect detectionGlass defectsYOLOv11n

Related Experiment Videos

Last Updated: Jun 6, 2026

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures
04:41

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

Published on: September 2, 2019

Area of Science:

  • Materials Science
  • Computer Vision
  • Artificial Intelligence

Background:

  • Defect detection on glass surfaces is challenging due to the subtle nature of flaws.
  • Existing methods often struggle with efficiency and accuracy for elongated or faint defects.

Purpose of the Study:

  • To develop an efficient and accurate defect detection method for ordinary glass surfaces.
  • To improve the detection of faint and elongated defects using a novel algorithm.

Main Methods:

  • A glass surface defect dataset was created using shadowgraphy technology.
  • The YOLO-FSA algorithm, based on YOLOv11n, incorporates C3k2_FWD modules and a GSCSA attention mechanism.
  • Down convolution was used for model lightweighting.

Main Results:

  • YOLO-FSA achieved precision of 74.8%, recall of 80.7%, and mAP50 of 85.5%.
  • Significant improvements were observed compared to the base YOLOv11n model (8.5% precision, 6.4% recall, 12.6% mAP50 increase).
  • Model parameters were reduced by 31.4% and computational complexity by 25.4%.

Conclusions:

  • The YOLO-FSA algorithm effectively balances high detection performance with computational efficiency.
  • This method offers a promising solution for automated, high-accuracy defect detection in glass manufacturing.