PET/SPECT/CT preclinical imaging CUBES
Automated microscopy and Spatial Proteomics
Real-time, label free cell analysis
Nano and micro particle analysis
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Automatic, Real Time Acquisition of Bioluminescent Kinetic Curves
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Use of MRI and microCT to evaluate gene therapy for the treatment of discogenic back pain
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MRI images were obtained using the 9.4T Bruker BioSpec system, equipped with 40 mm 1H quadrature volume resonator, and...
Exosome-Mediated Delivery of Small Molecules, RNA & DNA for Development of Novel Cancer Therapeutics
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Disha Moholkar of University of Louisville's Gupta Lab
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Emulate in vivo conditions – introduce shear flow to your experiments with BioFlux system
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Most research is still conducted in vitro without the presence of flow. We use the BioFlux System to give you the...
Webinar: Dose Reduction and Image Enhancement in Preclinical Mouse Imaging using Deep Learning
Jan 31, 2023
In preclinical imaging, it is important to aim for dose reduction as longitudinal studies with many scanning time points can result in accumulated doses that impact your study results. However, lowering the dose in PET and CT imaging inherently introduces noise, and reduced image quality negatively impacts diagnostic performance. Various denoising techniques already exist, but deep learning (DL) methods have become increasingly popular for image quality enhancement.
Florence explains how she developed and evaluated an image-to-image CNN framework to predict higher quality images from noisier images acquired at lower radiation doses for both modalities.
Related technologies: PET, SPECT, CT
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