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Related Concept Videos

Computed Tomography01:10

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...
Electron Microscope Tomography and Single-particle Reconstruction01:07

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...
Imaging Studies III: Computed Tomography01:27

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...
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single stretching vibration...
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Imaging Biological Samples with Optical Microscopy01:18

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...

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Updated: Jun 27, 2026

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
11:21

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Optical Coherence Tomography with Gapped Spectrum Using Sparse Iterative Covariance-Based Estimation.

Xiaonan Pan1, Miao Yuan2, Jianrui Zhang1

  • 1School of Intelligent Manufacturing, Longdong University, Qingyang 745000, China.

Sensors (Basel, Switzerland)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Sparse Iterative Covariance-based Estimation (SPICE) improves optical coherence tomography (OCT) imaging by enhancing axial resolution and reducing artifacts from gapped spectra. This method offers better image quality and efficiency for noninvasive tissue visualization.

Keywords:
OCTSPICEartifact/sidelobe suppressionaxial resolution enhancementgapped spectral data

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Signal Processing

Background:

  • Optical coherence tomography (OCT) provides noninvasive, high-resolution cross-sectional imaging of biological tissues.
  • Fourier-domain OCT's axial resolution depends on light source spectral bandwidth; gaps degrade resolution and cause artifacts.
  • Standard interpolation methods struggle with discontinuous spectra, leading to sidelobes and reduced image quality in OCT.

Purpose of the Study:

  • To propose and evaluate a sparse parameter estimation approach, SPICE, for OCT image reconstruction from gapped spectra.
  • To enhance axial resolution and suppress sidelobe artifacts in OCT images caused by spectral gaps.
  • To compare SPICE's performance against existing methods like GAPES in terms of image quality and computational cost.

Main Methods:

  • Developed Sparse Iterative Covariance-based Estimation (SPICE), a sparse parameter estimation framework.
  • Applied SPICE to directly resolve depth-dependent components from discontinuous interferograms in OCT data.
  • Conducted experiments on multi-layered tape, oral epithelium, and finger skin samples with representative spectral gaps.

Main Results:

  • SPICE visually suppressed gap-induced sidelobe artifacts and improved structural interpretability in OCT images.
  • Quantitative analysis showed SPICE reduced axial Full Width at Half Maximum (FWHM) by 30-45% and increased Structural Similarity Index Measure (SSIM) by 0.15-0.25.
  • SPICE demonstrated significantly lower computational cost compared to GAPES (p < 0.01).

Conclusions:

  • SPICE effectively enhances axial resolution and suppresses artifacts in OCT imaging from gapped spectra.
  • The method improves image quality and structural interpretability for noninvasive biological tissue imaging.
  • SPICE offers a computationally efficient and superior alternative to standard interpolation techniques for OCT reconstruction.