Zobrazeno 1 - 10
of 42
pro vyhledávání: '"ocis:(100.0100) Image processing"'
Publikováno v:
Biomedical Optics Express
Erosive tissue-loss in dental enamel is of significant clinical concern because the net loss of enamel is irreversible, however, initial erosion is reversible. Micro-hardness testing is a standard method for measuring initial erosion, but its invasiv
Autor:
Anthony N. Kuo, Du Tran Viet, Cynthia A. Toth, Shwetha Mangalesh, Liangbo Shen, Christian Viehland, Brenton Keller, Derek Nankivil, Joseph A. Izatt, Oscar Carrasco-Zevallos
Publikováno v:
Biomedical Optics Express
Current-generation software for rendering volumetric OCT data sets based on ray casting results in volume visualizations with indistinct tissue features and sub-optimal depth perception. Recent developments in hand-held and microscope-integrated intr
Autor:
Peter, Quicke, Stephanie, Reynolds, Mark, Neil, Thomas, Knöpfel, Simon R, Schultz, Amanda J, Foust
Publikováno v:
Biomedical Optics Express
Multifocal two-photon microscopy (MTPM) increases imaging speed over single-focus scanning by parallelizing fluorescence excitation. The imaged fluorescence’s susceptibility to crosstalk, however, severely degrades contrast in scattering tissue. He
Publikováno v:
Biomedical Optics Express
An image processing algorithm is developed for quantitative assessment of tear meniscus dynamics from continuous optical coherence tomography (OCT) measurements. Clinical utility of dynamic OCT tear meniscus measurement is assessed in studies of tear
Publikováno v:
Biomedical Optics Express
Intravascular optical coherence tomography (IVOCT) is rapidly becoming the method of choice for the in vivo investigation of coronary artery disease. While IVOCT visualizes atherosclerotic plaques with a resolution
Publikováno v:
Biomedical Optics Express
Singular value decomposition (SVD) was used to identify and remove laser-induced noise in photoacoustic images acquired with a clinical ultrasound scanner. This noise, which was prominent in the radiofrequency data acquired in parallel from multiple
Autor:
Annalisa D’Arco, Maria Antonietta Ferrara, M. Indolfi, Luigi Sirleto, Maria Frucci, Nadia Brancati
Publikováno v:
Biomedical Optics Express
Biomedical optics express 7 (2016): 1853–1864. doi:10.1364/BOE.7.001853
info:cnr-pdr/source/autori:Annalisa D'Arco, Nadia Brancati, Maria Antonietta Ferrara, Maurizio Indolfi, Maria Frucci, Luigi Sirleto/titolo:Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques/doi:10.1364%2FBOE.7.001853/rivista:Biomedical optics express/anno:2016/pagina_da:1853/pagina_a:1864/intervallo_pagine:1853–1864/volume:7
Biomedical optics express 7 (2016): 1853–1864. doi:10.1364/BOE.7.001853
info:cnr-pdr/source/autori:Annalisa D'Arco, Nadia Brancati, Maria Antonietta Ferrara, Maurizio Indolfi, Maria Frucci, Luigi Sirleto/titolo:Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques/doi:10.1364%2FBOE.7.001853/rivista:Biomedical optics express/anno:2016/pagina_da:1853/pagina_a:1864/intervallo_pagine:1853–1864/volume:7
The visualization of heterogeneous morphology, segmentation and quantification of image features is a crucial point for nonlinear optics microscopy applications, spanning from imaging of living cells or tissues to biomedical diagnostic. In this paper
Publikováno v:
Biomedical Optics Express
This paper presents a generalized framework for segmenting closed-contour anatomical and pathological features using graph theory and dynamic programming (GTDP). More specifically, the GTDP method previously developed for quantifying retinal and corn
Publikováno v:
Biomedical Optics Express
In this paper, we make contact with the field of compressive sensing and present a development and generalization of tools and results for reconstructing irregularly sampled tomographic data. In particular, we focus on denoising Spectral-Domain Optic
Publikováno v:
Biomedical Optics Express
Keratocytes are fibroblast-like cells that maintain the optical clarity and the overall health of the cornea. The ability to measure precisely their density and spatial distribution in the cornea is important for the understanding of corneal healing