Publications by authors named "N de la Torre"
Multiphoton and Harmonic Imaging of Microarchitected Materials.
ACS Appl Mater Interfaces
January 2025
Article Synopsis
- Microadditive manufacturing enables the creation of intricate nano- and microscale components, leading to advancements in various industries.
- This research explores two-photon and three-photon fluorescence imaging, along with third-harmonic generation microscopy, to analyze complex lattice structures produced by multiphoton lithography.
- The study reveals that multiphoton fluorescence imaging provides better depth penetration and nondestructive identification of internal modifications and defects, improving quality control in microadditively manufactured products.
Background: Pleural effusions are challenging to diagnose, with approximately 20-50% of malignant effusions not diagnosed by cytology. Human epididymal protein 4 (HE4) may be useful in the differential diagnosis of pleural effusions. In serum, this biomarker shows false-positive results in some benign diseases.
View Article and Find Full Text PDFDefects in microarchitected materials exhibit a dual nature, capable of both unlocking innovative functionalities and degrading their performance. Specifically, while intentional defects are strategically introduced to customize and enhance mechanical responses, inadvertent defects stemming from manufacturing errors can disrupt the symmetries and intricate interactions within these materials. In this study, we demonstrate a nondestructive optical imaging technique that can precisely locate defects inside microscale metamaterials, as well as provide detailed insights on the specific type of defect.
View Article and Find Full Text PDFArticle Synopsis
- - Recent breakthroughs in two-photon polymerization are enabling the creation of lightweight metamaterials with complex micro-scale designs, boasting better mechanical properties than traditional bulk materials.
- - Traditional methods like scanning electron microscopy struggle to examine internal features of these microscale structures, which are vital for understanding their mechanical behavior.
- - We introduced a novel optical confocal microscopy technique that allows detailed imaging of internal changes and fractures in these metamaterials while under mechanical stress, validating it with a specific lattice structure measuring 80 × 80 × 80 μm.
Background: Subarachnoid hemorrhage (SAH) entails high morbidity and mortality rates. Convolutional neural networks (CNN) are capable of generating highly accurate predictions from imaging data. Our objective was to predict mortality in SAH patients by processing initial CT scans using a CNN-based algorithm.
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