With the rapid evolution of microelectronics and nanofabrication technologies, the feature sizes of large-scale integrated circuits continue to move toward the nanoscale. There is a strong need to improve the quality and efficiency of integrated circuit inspection, but it remains a great challenge to provide both rapid imaging and circuit node-level high-resolution images simultaneously using a conventional microscope. This paper proposes a nondestructive, high-throughput, multiscale correlation imaging method that combines atomic force microscopy (AFM) with microlens-based scanning optical microscopy. In this method, a microlens is coupled to the end of the AFM cantilever and the sample-facing side of the microlens contains a focused ion beam deposited tip which serves as the AFM scanning probe. The introduction of a microlens improves the imaging resolution of the AFM optical system, providing a 3-4× increase in optical imaging magnification while the scanning imaging throughput is improved ≈8×. The proposed method bridges the resolution gap between traditional optical imaging and AFM, achieves cross-scale rapid imaging with micrometer to nanometer resolution, and improves the efficiency of AFM-based large-scale imaging and detection. Simultaneously, nanoscale-level correlation between the acquired optical image and structure information is enabled by the method, providing a powerful tool for semiconductor device inspection.
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http://dx.doi.org/10.1002/advs.202103902 | DOI Listing |
Rev Esp Patol
January 2025
Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Background: Sarcoidosis, a granulomatous inflammatory disease, exhibits diverse clinical manifestations, often affecting multiple organs. Diagnostic challenges arise due to its similarities with tuberculosis, particularly in high-burden areas. Differentiating between the two relies on clinical judgment, laboratory tests, imaging, and invasive procedures.
View Article and Find Full Text PDFClin Exp Optom
January 2025
Department of Ophthalmology, Dokuz Eylul University, Izmir, Turkey.
JMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
View Article and Find Full Text PDFMed Oral Patol Oral Cir Bucal
January 2025
15, Trauma Centre, District Hospital Neemuch Madhya Pradesh - 458441, India
Background: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is crucial for effective management and prevention of oral cancer. Recent advancements in artificial intelligence technologies indicates its potential to assist in clinical decision-making. Hence, this study was carried out with the aim to evaluate and compare the diagnostic accuracy of ChatGPT 3.
View Article and Find Full Text PDFNicotine Tob Res
January 2025
Institute for Nicotine and Tobacco Studies, Rutgers Health, New Brunswick, NJ, USA.
Introduction: Accurate measurement is critical for understanding the population health impact of nicotine pouches, yet precise, standardized measures of nicotine pouch use are lacking, possibly driving disparate prevalence estimates across studies. We implemented a split sample survey experiment to assess the impact of including a product image when asking about nicotine pouches.
Methods: We randomized an online sample of US adults ages 18-45 (N=2,130) recruited through the February 2023 wave of the Rutgers Omnibus Study to view either a text-only or text-plus-image description of oral nicotine pouches before being asked about awareness of the products.
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