Main Menu

This technology includes a combination of protein biomarkers and clinical risk factors to be used as an In Vitro Diagnostic Multivariate Index Assay (IVDMIA) that can improve the identification of individuals at high risk for atherosclerotic cardiovascular disease (ASCVD) and myocardial infarction (MI). Incorporation of novel protein biomarkers of ASCVD risk into risk assessment algorithms may improve their ability to identify individuals at high risk for ASCVD.

This technology includes an approach that dramatically lessens the effects of depth-dependent degradation in fluorescence microscopy images. First, we develop realistic ‘forward models’ of the depth dependent degradation and apply these forward models to shallow imaging planes that are expected to be relatively free of such degradation. In doing so, we create synthetic image planes that resemble the degradation found in deeper imaging planes. Second, we train neural networks to remove the effect of such degradation, using the shallow images as ground truth.

This technology includes an illuminator and reflector that enables flexible standing wave illumination on an inverted microscope stand, and procedures for using such illumination to improve axial resolution in confocal or instant SIM imaging systems. The axial resolution in conventional fluorescence microscopy is typically limited by diffraction to ~700 nm. This method that improves axial resolution ~7-fold over the diffraction limit, and that can be applied to any fluorescence microscope.

This technology includes algorithms and software that improve the speed of iterative deconvolution, a common method for improving spatial resolution and contrast in fluorescence microscopy images. These algorithms also improve the registration of multiview datasets, and apply deep learning to accelerate spatially varying deconvolution.

This technology includes 1-13C-ketoglutarate which can be used for imaging the conversion to hydroxyglutarate (HG) or Gln in cancer cells with an IDH1 mutations by hyperpolarized MRI. The ability to detect the status of IDH1 mutations is clinically prognostic for multiple cancers. These exciting observations are limited by two factors, the major one being that the natural abundance of 13C at position C5 overlaps with 1-13C-2-hydroxyglutarate peak, which limits the sensitivity of analysis and prevents simultaneous observations of HG and Gln formation.

This technology includes a method that extends fluorescence polarization imaging so that the dipole moment of a fluorescent dye may be excited regardless of its 3D orientation. By exciting the dipole from multiple directions, we ensure that excitation may occur even if the dipole is unfavorably oriented along the axial (propagation) axis. If the dye can be rigidly attached to the structure of interest, our method also enables the 3D orientation of the structure to be estimated accurately.

This technology includes a microscopy technique that produces super-resolution images from diffraction-limited images obtained from a line scanning confocal microscope. First, the operation of the confocal microscope is modified so that images with sparse line excitation are recorded. Second, these images are processed to increase resolution in one dimension. Third, by taking a series of such super-resolved images from a given sample type, a neural network may be trained to produce images with 1D super-resolution from new diffraction-limited images.