Researchers from the University of Illinois have developed a state of the art method that can reconstruct images in better quality, in less time, with fewer scans...
Researchers from the University of Illinois have developed a state of the art method that can reconstruct images in better quality, in less time, with fewer scans. They leveraged sparse characteristic of the image data and produced a two step algorithm that learns the patches of the image from the data and subsequently decreases elements in each patch.
Dr. Boppart from the University of IL has developed a machine learning system that allows for easy diagnosis of ear infections, such as Otitis Media. The system uses a...
Dr. Boppart from the University of IL has developed a machine learning system that allows for easy diagnosis of ear infections, such as Otitis Media. The system uses a database of Optical Coherence Tomography Images to identify features in inner ear biofilms more effectively than trained specialists while being used by an untrained user.
Dr. Boppart from the University of IL has developed a portable Otitis Media diagnostic system that allows for primary and point-of-care use. The briefcase OCT system...
Dr. Boppart from the University of IL has developed a portable Otitis Media diagnostic system that allows for primary and point-of-care use. The briefcase OCT system provides a 5-fold cost reduction and 3-fold size reduction compared to current systems and is easily portable for field work. The measurements using this system could be performed non-invasively through tissues or other interfaces/layers of material provided they are optically transparent for OCT imaging.
Researchers have developed a method that accelerates data acquisition for Fourier transform-ion cyclotron resonance (FT-ICR) mass spectrometry imaging (MSI) by ten folds...
Researchers have developed a method that accelerates data acquisition for Fourier transform-ion cyclotron resonance (FT-ICR) mass spectrometry imaging (MSI) by ten folds while maintaining high mass and spatial resolution and accuracy. Compared to other methods in MSI data acquisition/reconstruction, this approach exploits redundancy in the data, eventually reducing the time for data collection. The primary applications of the technology will be in clinical diagnostics, drug metabolism studies and localization/characterization of biomolecules within tissue samples.
