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A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon +4 more
wiley +1 more source
Myogenic Fusogen‐Engineered Lipid Nanoparticles Enhance mRNA Delivery in Skeletal Muscle
This study reports a biomimetic strategy of engineering full‐length Myomaker, a muscle‐specific fusogen, into lipid nanoparticles (LNPs) to harness the native myoblast fusion capability for skeletal muscle mRNA delivery. The resulting Mymk‐LNPs enhance transfection in differentiating myocytes and enable Cre‐mediated reporter activation in injured ...
Fangyu Zhang +18 more
wiley +1 more source
Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI. [PDF]
Aiskovich M +8 more
europepmc +1 more source
Biocatalytic Synthesis of Coumarin S-Glycosides: Towards Non-Cytotoxic Probes for Biomedical Imaging and Sensing. [PDF]
Burrini N +4 more
europepmc +1 more source
High-Density Polyethylene Custom Focusing Lenses for High-Resolution Transient Terahertz Biomedical Imaging Sensors. [PDF]
Chakraborty D +6 more
europepmc +1 more source
Near-infrared fluorophores for biomedical imaging
In vivo near-infrared (NIR) fluorescence imaging is an emerging biomedical imaging modality for use in both fundamental scientific research and clinical practice.
Hongjie Dai +2 more
exaly +2 more sources
Biomedical imaging is becoming an indispensable branch within bioengineering. This research field has recently expanded due to the requirement of high-level medical diagnostics and rapid development of interdisciplinary modern technologies.
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Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
Segmentation of biomedical images separates scenes into their components based on recognition of locally similar patterns of intensity, color, texture or other features, with or without use of a priori knowledge regarding the objects or "camera" used to acquire the images.
Michael W. Vannier, John W. Haller
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Segmentation of biomedical images separates scenes into their components based on recognition of locally similar patterns of intensity, color, texture or other features, with or without use of a priori knowledge regarding the objects or "camera" used to acquire the images.
Michael W. Vannier, John W. Haller
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Biomedical Signal and Image Processing
IEEE Pulse, 2011Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses.
CERUTTI, SERGIO +13 more
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Computer Processing of Biomedical Images
Computer, 1976The 1970's have witnessed two dramatic innovations in the application of computers to image processing in medicine: computerized tomography (CT), a system where data gathered from an x-ray scanner are fed into a computer to produce cross-sectional images of the human body, and white blood cell differentiation (WBCD), a system that uses a television ...
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