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Related Experiment Video

Updated: May 22, 2026

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

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Published on: May 30, 2016

An endoscopic 3D scanner based on structured light.

Christoph Schmalz¹, Frank Forster, Anton Schick

¹University of Erlangen-Nuremberg, Pattern Recognition Lab, Martensstrasse 3, Erlangen, Germany. christoph.schmalz@informatik.uni-erlangen.de

Medical Image Analysis

|May 1, 2012

Summary

This summary is machine-generated.

A novel endoscopic 3D scanning system using Single Shot Structured Light creates ultra-small scanners for tubular cavities. This innovative technology achieves high-resolution 3D imaging with minimal error, advancing minimally invasive visualization.

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Area of Science:

Medical Imaging
Optical Engineering
Robotics

Background:

Endoscopic procedures require high-resolution 3D imaging capabilities.
Existing endoscopic systems often lack miniaturization and high frame rates.
Accurate 3D reconstruction is crucial for diagnosis and intervention.

Purpose of the Study:

To develop and evaluate a novel, miniaturized endoscopic 3D scanning system.
To demonstrate the feasibility of Single Shot Structured Light for endoscopic applications.
To assess the system's accuracy and performance in tubular environments.

Main Methods:

Design of an endoscopic sensor head integrating a catadioptric camera and structured light projector.
Implementation of a Single Shot Structured Light technique for 3D data acquisition.
Calibration procedures and experimental validation using phantoms and biological samples.

Main Results:

A prototype sensor head with a diameter of 3.6mm and length of 14mm was successfully built.
The system achieves 3D video acquisition at 30 frames per second, generating ~5000 3D points/frame.
Resolution better than 200μm and an average error of 92μm on a test object were recorded.

Conclusions:

The developed endoscopic 3D scanner is highly miniaturized and suitable for tubular cavities.
Single Shot Structured Light is effective for high-speed, high-resolution endoscopic 3D imaging.
The system shows significant potential for improving endoscopic visualization and interventions.