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Automated microscopy and Spatial Proteomics
Automated microscopy and image analysis
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The chicken chorioallantoic membrane as a low-cost, high-throughput model for cancer imaging
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Discover Yokogawa CellVoyager CQ1: Benchtop High-Content Analysis System
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Unlike flow cytometers, the CellVoyager CQ1 confocal quantitative image cytometer does not require pretreatment such as...
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Visualization of Tumor-Related Blood Vessels in Small Animals by Photoacoustic 3D Imaging System
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In Vivo Label-Free Observation of Tumor-Related Blood Vessels in Small Animals Using a Newly Designed Photoacoustic 3D...
Therapeutic effects of mesenchymal stem cells in myocardial infarction
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Intrapericardial hydrogel injection generates high cell retention and augments therapeutic effects of mesenchymal stem...
A deep learning and Monte Carlo based framework for bioluminescence imaging center Maastro
Apr 20, 2023
In September 2021, team from Department of Radiation Oncology from Maastricht University Medical Centre, together with research group NuTeC from Hasselt University, The M-Lab from Maastricht University and other senior researchers sent for publication amazing result of their work on GBM in mice, having purpose to discover better algorithm to predict CoM and have a better volume to target. Starting with contrast -enhanced CBCT issues, followed by MR and BLI guidance they still encountered lack of 3D spatial information. Monte Carlo simulation and 3D CNN were used in calculation, together with Gao and AI, in order to obtain accuracy for small volumes. Complete article can be downloaded from next link
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