Fluorescent labeling techniques have enabled the visualization of various biomolecules, cellular structures, and their associated physiological processes. At the same time, there remains a demand for developing novel fluorescent compounds possessing unique chemical properties for biological imaging. A recently developed class of fluorophores, termed , displays optimal brightness and large Stokes shifts that are ideal for fluorescence microscopy.
View Article and Find Full Text PDFPurpose: To evaluate the clinical and patient-reported outcomes of the toric version of a refractive extended depth of focus intraocular lens (IOL).
Methods: This was a prospective observational study including 26 eyes of 26 patients (age range: 58 to 88 years) who underwent cataract surgery with implantation of the LuxSmart toric IOL (Bausch & Lomb GmbH). Changes in distance, intermediate (80 cm), and near (40 cm) visual acuities, manifest refraction, defocus curve, distance photopic contrast sensitivity (CSV-1000 test), and patient-reported outcomes (Catquest-9SF questionnaire) were evaluated during a 3-month follow-up.
The calculation of electronic excited states in extended multichromophoric systems is computationally challenging. Here, we accelerate our recently introduced excitonic configuration interaction (ECI) method [T. Piteša et al.
View Article and Find Full Text PDFDistant metastases (DM) are the leading cause of thyroid cancer-related death in patients with differentiated thyroid cancer (DTC). Despite significant progress in understanding DNA methylation in DTC, the methylation landscape of metastatic primary tumors and DM remains unclear. Our primary objective was to investigate DNA methylation dynamics during DTC progression, with a secondary goal of assessing potential clinical implications.
View Article and Find Full Text PDFThe process of image formulation uses semantic analysis to extract influential vectors from image components. The proposed approach integrates DenseNet with ResNet-50, VGG-19, and GoogLeNet using an innovative bonding process that establishes algorithmic channeling between these models. The goal targets compact efficient image feature vectors that process data in parallel regardless of input color or grayscale consistency and work across different datasets and semantic categories.
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