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Confocal Fluorescence Microscopy01:16

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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,...
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Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
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Precise Two-Dimensional Tilt Measurement Sensor with Double-Cylindrical Mirror Structure and Modified Mean-Shift

Zhiyi Wang1,2, Tingyu Wang1,2, Yongqiang Yang1,2

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel, Switzerland)
|September 23, 2022
PubMed
Summary
This summary is machine-generated.

A novel double-cylindrical mirror sensor enhances confocal microscopy for precise 3D optical surface measurements. This system improves accuracy and speed in freeform optics contour detection.

Keywords:
confocal microscopyoptical profilometrypartition-fitting strategypeak-extraction algorithmpositiontwo-dimensional tilt

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Area of Science:

  • Optical Metrology
  • Microscopy Systems
  • Surface Characterization

Background:

  • Accurate three-dimensional (3D) surface contour measurement of freeform optics is critical for advanced applications.
  • Traditional confocal microscopy (CM) systems face challenges in achieving high precision due to factors like object reflectivity and light source instability.
  • Existing methods often struggle with simultaneous measurement of inclination and spatial coordinates.

Purpose of the Study:

  • To develop and validate a novel two-dimensional (2D) tilt measurement sensor for CM systems.
  • To enhance the accuracy, robustness, and speed of 3D surface contour measurements for freeform optics.
  • To enable simultaneous estimation of 2D inclination angle and spatial position coordinates.

Main Methods:

  • A double-cylindrical mirror structure was designed and modeled for the 2D tilt measurement sensor.
  • A modified mean-shift-based peak-extraction algorithm with a novel kernel function (MSN) was introduced to address measurement inaccuracies.
  • A partition fitting (PF) strategy was implemented to minimize fitting errors and improve overall measurement precision.

Main Results:

  • Simulations and experiments demonstrated significant improvements in the sensor's robustness, speed, and angular prediction accuracy.
  • The developed sensor achieved mean prediction errors of 0.0134° (0.067% F.S) and 0.0142° (0.071% F.S) in the 2D plane over a -10° to +10° range.
  • The system successfully enabled simultaneous estimation of 2D inclination angle and spatial position coordinates.

Conclusions:

  • The proposed double-cylindrical mirror sensor integrated with MSN and PF strategies offers a substantial advancement in CM-based 3D surface metrology.
  • The sensor provides accurate and simultaneous 2D tilt and positional data, crucial for precise surface profiling.
  • This technology holds significant potential for applications in 3D topographic reconstruction and optimizing sampling rates in 3D contour detection.