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The following CMIV projects conducts research related to Microscopy.

Imaging of Brown Adipose Tissue in Man

We will develop non-invasive methods for measurements of human Brown Adipose Tissue (hBAT) tissue mass and activity. Our hypothesis is that this can be achieved by means of magnetic resonance imaging (MRI) and dual energy computed tomography (DECT). Initial studies will be performed using rodents (mice and rats). An important next step will be to use human postmortem material, which will enable us to confirm the true identity of hBAT images by genetic and morphological analysis of biopsies. The validated methods will then be used for in vivo studies. We will use phase sensitive reconstruction of complex images acquired with the water and fat resonance in- and out- of-phase, so called Dixon imaging.

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Optimized flows and IT tools for digital pathology

Diagnostic pathology is of crucial importance for the health care in Sweden and globally. While there is a great lack of pathologists the demands are increasing due to an ageing population and more specialized diagnostic methods. In pathology there is an imminent need to significantly increase efficiency in parallel with quality of care improvements. Digitization of the pathological images is one of few major possibilities to achieve this. The benefit foreseen with digital pathology is shorter waiting times, higher diagnostic quality, more cost-efficient resource use and improved education. The project will design the workflows needed to achive these goals and also develop a demonstrator, an IT system showing how the workflow could be solved in practice. The project will also build a foundation for extending CMIV into a national research center in digital pathology.

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Give us new eyes

Your generosity can change lives for ever. Perhaps even yours. To contribute to our progress, please contact:
Anders Persson
Phone: +46 (0)10 - 103 8906
E-mail: anders.persson@cmiv.liu.se

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CMIV Blomma (9) small.JPG :
This is a series of visualizations of a flower scanned using a CT scanner.
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