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Updated: May 13, 2026

Optical Clearing and Labeling for Light-sheet Fluorescence Microscopy in Large-scale Human Brain Imaging

Optical Clearing and Labeling for Light-sheet Fluorescence Microscopy in Large-scale Human Brain Imaging

Published on: January 26, 2024

Structured-light-based highly dense and robust 3D reconstruction.

Daesik Kim¹, Sukhan Lee

¹Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon-si, Gyeonggi-do, South Korea.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|March 5, 2013

Summary

This summary is machine-generated.

This study introduces a novel 3D reconstruction method using structured light, achieving significantly higher spatial resolution and robustness. The technique enhances signal-to-noise ratio for more accurate 3D point cloud generation.

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Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

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Published on: November 21, 2016

Area of Science:

Computer Vision
Metrology
Optical Engineering

Background:

Accurate 3D reconstruction is crucial for various applications.
Existing structured-light methods face limitations in spatial resolution and robustness.

Purpose of the Study:

To propose a novel structured-light-based 3D reconstruction method.
To enhance spatial resolution and robustness compared to conventional techniques.

Main Methods:

Combines Gray code and a novel region-shifting pattern.
Transforms region-shifting patterns into trapezoidal and triangle wave patterns.
Estimates pattern boundaries, peaks, and phases across all frames.

Main Results:

Achieves approximately three times increase in spatial resolution.
Reconstructs 3D points at a resolution exceeding camera image resolution.
Demonstrates improved signal-to-noise ratio and robustness by utilizing all frames.

Conclusions:

The proposed method offers a significant advancement in dense and robust 3D reconstruction.
It overcomes limitations of conventional methods by leveraging multi-frame analysis.
Enables high-resolution 3D point cloud generation with enhanced accuracy.