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Homepage>Discover>A deep learning and Monte Carlo based framework for bioluminescence imaging center Maastro

Apr 4, 2024

Here, we assessed the chicken chorioallantoic membrane (CAM) as an alternative to mice for preclinical cancer imaging...

A microthrombus-driven fixed-point cleaved nanosystem for preventing post-thrombolysis recurrence

Apr 3, 2024

A thrombin-responsive and fixed-point cleaved Fu@pep-CLipo was developed for highly efficient and precise thrombolysis...

Webinar: Multimodal Assessment of Hypoxia in Tumors: From the Lab to the Clinic

Apr 2, 2024

25 April 2024, 4PM CET
This webinar will be of interest to multiple profiles in the community of biomedical
...

Multiplexed tissue imaging using the Orion platform to reveal the Spatial Biology of Cancer

Mar 27, 2024

In this webinar Prof. Sandro Santagata, will reveal how Orion high-plex imaging and the use of this data, is valuable...

Apr 25, 2024

A 19-color single-tube Full Spectrum Flow Cytometry for the detection of Acute Myeloid Leukemia

Mar 13, 2024

This recent publication in Cytometry Part A describes the development and comprehensive workflow of a single-tube,...

18F-labeled somatostatin analogs for somatostatin receptors (SSTRs) targeted PET imaging of NETs

Mar 11, 2024

A novel 18F-radiolabeled somatostatin analogue, [Al18F]NODA-MPAA-HTA, was synthesized and evaluated for positron...

Discover Yokogawa CellVoyager CQ1: Benchtop High-Content Analysis System

Mar 8, 2024

Unlike flow cytometers, the CellVoyager CQ1 confocal quantitative image cytometer does not require pretreatment such as...

Apr 25, 2024

Real-time and quantitative analysis of Macrophage Phagocytosis with RTCA eSight

Feb 23, 2024

The eSight is currently the only instrument that interrogates cell health and behavior using cellular
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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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