Related Experiment Video
Updated: Jun 22, 2026

08:50
Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
Published on: February 9, 2019
Three dimensional tracking for volumetric spectral-domain optical coherence tomography.
Optics Express
|June 25, 2009
Summary
This study introduces a 3D tracker for ophthalmic spectral domain optical coherence tomography (SD-OCT) to stabilize retinal images. The system compensates for motion artifacts, enhancing image quality for clinical analysis.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Medical Imaging
Background:
- Ophthalmic imaging requires high stability to accurately visualize retinal structures.
- Motion artifacts in spectral domain optical coherence tomography (SD-OCT) can degrade image quality and hinder analysis.
- Existing systems may lack robust mechanisms for real-time motion compensation.
Purpose of the Study:
- To develop and evaluate a three-dimensional (3D) tracker for clinical SD-OCT systems.
- To combine depth-tracking and lateral tracking for a stabilized reference frame.
- To compensate for motion artifacts and improve image stability for 3D data recording and analysis.
Main Methods:
- Implemented a real-time dynamic feedback mechanism for axial motion compensation.
- Utilized active monitoring of the retina and adaptive interferometer reference arm.
- Integrated depth-tracking with lateral tracking for a stabilized 3D reference frame.
- Achieved retinal stabilization within +/-100 micrometers.
Main Results:
- Demonstrated stabilization of the entire retinal thickness within +/-100 micrometers.
- Maintained a relatively constant signal-to-noise ratio (SNR) across images.
- Achieved a depth tracking range of 5.2 mm in air with frame-by-frame depth adjustment.
- Showcased enhanced image stability on a healthy volunteer.
Conclusions:
- The developed 3D tracker effectively stabilizes ophthalmic SD-OCT images.
- Real-time motion compensation significantly improves image quality and consistency.
- This technology enhances the reliability of 3D retinal data for clinical applications and research.
More Related Videos
Related Concept Videos
Computed Tomography
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Three-Dimensional Microscopy in Microbiology
Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
Imaging Studies III: Computed Tomography
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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...
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Electron Microscope Tomography and Single-particle Reconstruction
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
Two-Dimensional Microscopy in Microbiology
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...

