We describe use of a novel zero‐dose approach to tomographic volumetric additive manufacturing that has enabled us to print silicone micro‐ and millifluidic devices and instant molds within minutes. The silicones are polymerized using photoactivated dormant platinum photohydrosilylation catalysts that would traditionally be difficult to access in ...
Johanna A. Vandenbrande +12 more
wiley +1 more source
Effects of different combinations of noise index and preset adaptive statistical iterative reconstruction Veo on the accuracy and image quality of bone mineral density measurements using fast kilovolt-switching dual-energy computed tomography: a phantom study. [PDF]
Zhang H +5 more
europepmc +1 more source
3D Membrane Microstructures for Increased Efficiency in Blood‐Gas Transfer
Oxygenators for extracorporeal membrane oxygenation are based on hollow fiber membranes. They are associated with many complications, such as thrombosis or systemic inflammation during the therapy. By implementing 3D membrane microstructures for oxygenators, the transfer efficiency of oxygen and carbon dioxide is improved, which can lead to ...
Kai P. Barbian +9 more
wiley +1 more source
tomoCAM: fast model-based iterative reconstruction via GPU acceleration and non-uniform fast Fourier transforms. [PDF]
Kumar D, Parkinson DY, Donatelli JJ.
europepmc +1 more source
This study reconstructs the driving force field of fibroblast‐to‐neuron transdifferentiation from sparse single‐cell images by decomposing it into flux and time‐dependent potential gradient, extending the landscape‐flux framework to non‐steady‐state systems.
Chudan Yu +3 more
wiley +1 more source
A deep learning framework called MolVisGNN is proposed to fuse 3D molecular visual information of drugs with multi‐source features, which proves the importance of 3D molecular visual information of drugs and the advancedness of this model in the field of drug discovery, and provides a reference for how to more comprehensively express small molecule ...
Zimai Zhang +9 more
wiley +1 more source
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
Fast reconstruction of SMS bSSFP myocardial perfusion images using noise map estimation network (NoiseMapNet): a head-to-head comparison with parallel imaging and iterative reconstruction. [PDF]
Adam NL +13 more
europepmc +1 more source
Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou +3 more
wiley +1 more source
Computed tomography dose index determination in dose modulation prospectively involving the third-generation iterative reconstruction and noise index. [PDF]
Scott AW +4 more
europepmc +1 more source

