Non-invasive Pan-Cancer Detection Method
Isotopes of Alpha Ketoglutarate and Related Compounds for Hyperpolarized MRI Imaging
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.
Optimizing RSV Infection Monitoring and High-Throughput Screening Through GFP Expression in the First-Gene Position of Respiratory Syncytial Virus (RSV) Strain A2
In this technology, researchers have engineered a modified version of Respiratory Syncytial Virus (RSV) strain A2 using reverse genetics to incorporate green fluorescent protein (GFP) into the first-gene position. This genetic modification allows for the efficient monitoring of RSV infection and the screening of potential chemical inhibitors. The GFP expression can be easily detected through fluorescence microscopy in live or fixed cells, providing a sensitive tool for both research and drug discovery.
DeePlexing – Extending Imaging Multiplexity Using Machine Learning
Spatial proteomics and transcriptomics are fast-emerging fields with the potential to revolutionize various branches of biology. In the last five years, various multiplex immunofluorescence and immunohistochemistry imaging methods have been developed to stain 5-60 different protein markers in a given tissue. Nonetheless, most of these techniques are iterative and can image a maximum of 3-8 markers in a single cycle, resulting in processing time of several hours to days.
A Method to Guide Protocol Development for Magnetic Resonance Thermometry
This technology includes tools to guide optimization of thermometry imaging/post-processing protocols. Proton Resonance Frequency (PRF) thermometry is a widely used Magnetic Resonance Imaging (MRI) based technique to monitor changes in tissue temperature in response to thermal therapy. The use of PRF thermometry with thermal therapy procedures is indispensable to ensure delivery of desired thermal dose to the target tissue, and to minimize unintended damage to the normal tissue.
A Principal Component Analysis Based Multi-baseline Phase Correction Method for PRF Thermometry
This technology includes a novel Principal Component Analysis (PCA) based approach to correct motion related B0 changes in PRF thermometry. Proton Resonance Frequency (PRF) thermometry is a widely used Magnetic Resonance Imaging (MRI) based technique to monitor changes in tissue temperature in response to thermal therapy. The use of PRF thermometry with thermal therapy procedures is indispensable to ensure delivery of desired thermal dose to the target tissue, and to minimize unintended damage to the normal tissue.
A Method to Remove Fluid-motion Related Artifacts in Magnetic Resonance Thermometry Images Using Magnetic Field Gradients
This technology includes the incorporation of a magnetic field gradient waveform (consisting of two or more pulses) between excitation and encoding to eliminate signal from moving fluid for imaging applications. Proton Resonance Frequency (PRF) thermometry is a widely used Magnetic Resonance Imaging (MRI) based technique to monitor changes in tissue temperature in response to thermal therapy. The use of PRF thermometry with thermal therapy procedures is indispensable to ensure delivery of desired thermal dose to the target tissue, and to minimize unintended damage to the normal tissue.