Researchers from the University of Illinois have developed a method of stain-free chemical imaging to highlight the morphology and molecular content of biological...
Researchers from the University of Illinois have developed a method of stain-free chemical imaging to highlight the morphology and molecular content of biological samples without the use of any stains or dyes. The tissue is computationally recreated as if it were stained and imaged in diagnosis of biological samples. This method improves the cost and efficiency by avoiding expense and lessening the time required to complete multiple stains. Also, it improves the overall consistency of the staining process.
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.
