Thanks to Wimasis we are now able to extract more information from every image we take
Dr. Tobias Fromme
Research scientist, Chair for Molecular Nutritional Medicine Technische Universität München
At the chair of Molecular Nutritional Medicine we study the balance between energy intake and expenditure. Thermogenic brown adipocytes profoundly contribute to the latter by dissipating nutrient energy in the form of heat. Characteristic features of brown as compared to white adipocytes are the lower size and greater number of lipid droplets as well as the smaller overall cell size.
Wimasis has developed a custom solutiom to us to automatically determine adipocyte size and number in images of histological sections that saves us hours and hours of manual counting and measuring. Even better, in cooperation with Wimasis, we established an image analysis procedure enabling us to quantify lipid droplet size and number in images of cultured adipocytes. A task that is impossible to perform manually and far less efficient with off-the-shelf particle recognition software in our hands.
With Wimasis image analyses we do not only save a lot of time, but are even able to extract more quantitative information out of every image we take.
WimCAM allows us to analyze vascularization reliably in CAM assay as an alternative angiogenesis model system.
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