PET/SPECT/CT preclinical imaging CUBES
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InAlyzer to evaluate G6PD activity in relation with frailty
Mar 28, 2023
InAlyzer is body densitometry instrument for lab animals, equipped with 2 X-Ray sources and able to provide valuable...
Cardiomyocyte isolation using Cellenion’s cellenONE instrument
Mar 24, 2023
The cellenONE platform is ideal for the isolation of fragile and heterogeneous cell size populations, such as...
ACCELA educational webinar: Unlocking Spatial Biology with RareCyte Orion
Mar 16, 2023
Experience Spatial Biology with Orion Multiplex Imaging. Orion is a benchtop, high...
Recorded webinar: Anesthesia Considerations in Small Animal Imaging
Mar 13, 2023
Anesthesia settings and operation of Optical Imaging Systems: methods, animal handling, safety and regulatory...
Introducing Cytek Human Leukocyte Kit, the first ever 15-color lyse no-wash assay
Mar 13, 2023
This kit has been designed to enumerate all major leukocyte subsets and it mirrors and expands on those identified in a...
Immunofluorescence Imaging for Rare Cell Detection with CyteFinder II
Mar 7, 2023
CyteFinder II Instruments are high speed, whole slide imaging systems with options for liquid biopsy analysis and...
NanoCellect Webinar: Optimizing the Cell Line Development Process with Microfluidic Cell Sorting
Mar 3, 2023
Single-cell selection and cloning are required for bioengineering workflows such as antibody production, cell therapy,...
New Kit for Bacterial analysis expands capability of Guava Muse flow cytometer
Feb 20, 2023
With the Guava Muse cell analyzer, you can now achieve highly quantitative results at a fraction of the price, effort,...
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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