Publications by authors named "Mary Katherine Montgomery"
Article Synopsis
- - Positron Emission Tomography (PET) is a key imaging technique used to study drug distribution, receptor activity, and biomarkers, essential for drug development.
- - Traditional PET biodistribution studies are labor-intensive, prone to variability, and challenging due to inconsistent animal positioning, which can affect results.
- - To improve accuracy and efficiency, Body Conforming Animal Molds (BCAMs) were introduced for consistent positioning, combined with a cloud-based SaaS platform that offers automated data analysis, demonstrating successful outcomes comparable to manual methods with minimal training required.
Article Synopsis
- - Lung cancer is a major cause of cancer deaths, with recent advancements in treatment enabled by genetically engineered mouse models (GEMMs), which better mimic human lung cancer than other methods.
- - A new deep learning model was created to automate the detection of lung tumors in micro-CT scans, achieving high accuracy comparable to manual analysis and significantly reducing the time needed for segmentation.
- - This deep learning model effectively tracked tumor progression in a study with mice, showcasing its potential to innovate lung cancer research by providing fast and accurate data analysis.
Nanoparticle (NP) technology holds significant promise to mediate targeted drug delivery to specific organs in the body. Understanding the 3D biodistribution of NPs in heterogeneous environments such as the tumor tissue can provide crucial information on efficacy, safety and potential clinical outcomes. Here we present a novel end-to-end workflow, VIOLA, which makes use of tissue clearing methodology in conjunction with high resolution imaging and advanced 3D image processing to quantify the spatiotemporal 3D biodistribution of fluorescently labeled ACCURIN® NPs.
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- Lung cancer survival rates have remained low since the 1970s, prompting the need for effective research tools, such as genetically engineered mouse models that mimic human tumors.
- Traditional methods for analyzing lung cancer via micro-computed tomography (microCT) rely on manual segmentation, which is time-consuming and subject to variability.
- The newly developed Mouse Lung Automated Segmentation Tool (MLAST) offers a fully-automated segmentation method, improving efficiency and accuracy in measuring tumor growth in preclinical trials, validated against multiple comparison methods.
Diffusely infiltrating gliomas are known to cause alterations in cortical function, vascular disruption, and seizures. These neurological complications present major clinical challenges, yet their underlying mechanisms and causal relationships to disease progression are poorly characterized. Here, we follow glioma progression in awake Thy1-GCaMP6f mice using in vivo wide-field optical mapping to monitor alterations in both neuronal activity and functional hemodynamics.
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