PET/SPECT/CT preclinical imaging CUBES
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Cytek LIVE Demo : introducing the new Autofluorescence (AF) Explorer in Spectroflo 3.2.1
Sep 25, 2023
In this webinar, Cytek will be covering the new features introduced in the newest SpectroFlo 3.2.1 software release and...
Educational webinar: Introducing MARS Platform for gentle cell separation
Sep 6, 2023
Join us for a webinar where we will introduce the new MARS Platform by Applied Cells, a...
Meet us in Prague at 12th International Conference of Analytical Cytometry
Aug 29, 2023
Meet us at 12th International Conference of Analytical Cytometry 2.-5.9.2023 in Prague, ...
Aug 17, 2023
Register for an engaging webinar led by Naz Chaudary, Ph.D., and Research Technician, Alex Wang from the...
Optimizing Gene Expression with Bioluminescence & the piggyBac System
Aug 15, 2023
Discover how bioluminescence imaging & the piggyBac gene editing system optimize & track gene expression in mouse...
High-plex immunofluorescence imaging and traditional histology of the same tissue section
Aug 7, 2023
RareCyte Orion’ platform has been used for collecting H&E and high-plex immunofluorescence images from the same cells...
Drive key insights and discoveries with NEW Live Cell Analysis applications for eSight system
Aug 2, 2023
eSight is now powerful like never before. Learn more about new dedicated application modules for live-cell analysis: 3D...
Cytek webinar: High Parameter Spectral Flow Cytometry for Tumor Immunology Research
Jul 28, 2023
High Parameter Spectral Flow Cytometry for Tumor Immunology Research: This webinar will be a guide for Designing,...
Single cell-resolution in situ sequencing elucidates spatial dynamics of multiple sclerosis
Jul 14, 2023
MERFISH integrates spatial transcriptomics technology with high resolution spatial imaging, fluidics, image processing,...
MARS - High Efficiency Separation of CD34+ HSC from Mobilized Blood
Jul 12, 2023
MARS platform provides an easy and cost-effective protocol for CD34+ cell isolation. Single pass CD34+ HSC enrichment...
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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