When researchers and physicians analyse tissue, for example in order to investigate any pathological changes, they often look at the tissue samples under the light microscope. However, producing meaningful images is not always easy. Researchers at the Cells-in-Motion Cluster of Excellence at the University of Münster and at the Max Planck Institute for Molecular Biomedicine in Münster have now developed a new method which, in the case of lymphoedema, can create digital 3D images of blood vessels and lymphatic vessels of entire tissue biopsies. This method will help to analyse the underlying changes of the blood and lymphatic vessels in lymphoedema in a more detailed way. “We’re doing a digital three-dimensional histopathology,” explains Dr. René Hägerling, lead author of the study which has just been published in the latest issue of the “JCI Insight” journal.
The process has involved interdisciplinary collaboration between biochemists, chemists, computer scientists, biologists and physicians. The researchers analysed three skin biopsies taken from healthy persons and one skin biopsy of a patient with lymphoedema. Using light sheet microscopy they produced thousands of individual optical sections for each sample. Using a special programming system called Voreen the researchers assembled the individual optical sections on the computer and produced a three-dimensional reconstruction of the tissue structure. The new method – called VIPAR – enables researchers for the first time to generate 3D reconstructions of skin biopsies, visualize them and extract characteristic parameters of the tissue. This method differs from traditional histological analyses, in which a tissue sample is sliced into many sections and each individual section is observed two-dimensionally.
Hägerling R, Drees D, Scherzinger A, Dierkes C, Martin-Almedina S, Butz S, Gordon K, Schäfers M, Hinrichs K, Ostergaard P, Vestweber D, Goerge T, Mansour S, Jiang X, Mortimer PS, Kiefer F. VIPAR, a quantitative approach to 3D histopathology applied to lymphatic malformations. JCI Insight 2017;2, DOI 10.1172/jci.insight.93424.