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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

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Microscopic vision modeling method by direct mapping analysis for micro-gripping system with stereo light microscope.

Yuezong Wang¹, Zhizhong Zhao¹, Junshuai Wang¹

¹College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China.

Micron (Oxford, England : 1993)

|March 1, 2016

Summary

This summary is machine-generated.

A new high-precision microscopic vision model enhances 3D data reconstruction for micro-gripping systems. This method improves accuracy in stereo light microscopy, outperforming traditional models in specific coordinates.

Keywords:

Micro-gripping system Micromanipulation Microscopic vision Stereo light microscope

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Area of Science:

Microscopic imaging
3D reconstruction
Robotics and automation

Background:

Micro-gripping systems require precise 3D data for accurate manipulation.
Existing vision models may lack the necessary precision for micro-scale applications.

Purpose of the Study:

To develop a novel, high-precision microscopic vision modeling method for 3D data reconstruction.
To improve the accuracy of micro-gripping systems utilizing stereo light microscopes.

Main Methods:

Image distortion correction using linear and polynomial fitting on calibration samples.
Disparity distortion correction based on disparity distribution analysis.
Development of a two-part microscopic vision model: initial mapping and residual compensation.

Main Results:

Achieved reconstruction precision of 0.01mm (X, Y) and 0.015mm (Z) within specified ranges.
The proposed model shows comparable X-coordinate precision to traditional pinhole models.
Demonstrated superior Y and Z coordinate precision compared to traditional pinhole camera models.

Conclusions:

The novel microscopic vision model significantly enhances 3D reconstruction accuracy for micro-gripping systems.
This method offers improved precision, particularly in Y and Z coordinates, over conventional approaches.
The developed model is highly beneficial for stereo light microscope-based micro-gripping applications.