Acoustic microscopy permits a native, nondestructive and artefact-free analysis of the surface of intraocular lenses with regard to manufacturing defects, biologic cellular and membranaceous layers, and signs of degradation. Furthermore, it enables structures below the surface to be evaluated, so that inclusions, pores, microcracks and zones of deformation can be detected. In addition to performance of a one-dimensional, relative intensity profile of the surface and the corresponding pseudo-3D image, the properties of the materials inside the intraocular lens can be characterized by computerized analysis of the reflected ultrasound energy.
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http://dx.doi.org/10.1055/s-2008-1046419 | DOI Listing |
Brain Pathol
January 2025
Rutgers Cancer Institute, Newark, New Jersey, USA.
Oxidized regenerated cellulose (ORC; marketed as Surgicel® and Tabotamp®) is routinely used as an intraoperative hemostatic agent. Rarely, residual ORC has been associated with a foreign body reaction generating cystic or granulomatous lesions (i.e.
View Article and Find Full Text PDFUltrasound Med Biol
January 2025
Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA; Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL, USA. Electronic address:
Objective: Advanced imaging methods are crucial for understanding stroke mechanisms and discovering effective treatments to reduce bleeding and enhance recovery. In pre-clinical in vivo stroke imaging, MRI, CT and optical imaging are commonly used to evaluate stroke outcomes in rodent models. However, MRI and CT have limited spatial resolution for rodent brains, and optical imaging is hindered by limited imaging depth of penetration.
View Article and Find Full Text PDFBMJ Open Ophthalmol
January 2025
Department of Ophthalmology, Peking University People's Hospital, Beijing, China
Purpose: To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images.
Design: Development and validation of an artificial intelligence algorithm for UBM images.
Methods: 2339 UBM images from 592 subjects were collected for algorithm development.
J Biomed Opt
January 2025
Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States.
Significance: Existing photoacoustic phantoms are unable to mimic complex microvascular structures with varying sizes and distributions. A suitable material with structures that mimic intricate microvascular networks is needed.
Aim: Our aim is to introduce loofah as a natural phantom material with complex fiber networks ranging from 50 to , enabling the fabrication of phantoms with controlled optical properties comparable to those of human microvasculature.
Sci Rep
January 2025
Melbourne Dental School, University of Melbourne, Level 5, 720 Swanston Street, Carlton, Melbourne, VIC, 3053, Australia.
Oral cancer detection is based on biopsy histopathology, however with digital microscopy imaging technology there is real potential for rapid multi-site imaging and simultaneous diagnostic analysis. Fifty-nine patients with oral mucosal abnormalities were imaged in vivo with a confocal laser endomicroscope using the contrast agents acriflavine and fluorescein for the detection of oral epithelial dysplasia and oral cancer. To analyse the 9168 images frames obtained, three tandem applied pre-trained Inception-V3 convolutional neural network (CNN) models were developed using transfer learning in the PyTorch framework.
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