Organización del tumor: un enfoque multidimensional

MARINA CUENCA; LUCIA CANEDO; HERNAN GRECCO; CAROLINA PEREZ CASTRO

Congreso; Reunión Conjunta de la Sociedad de Investigación Clínica; 2018

Tridimensional (3D) culture of cancer cells has become a useful technique to replicate as close as possible the conditions found in living tissue. Along with it came new methodological challenges to visualize cell organization and progression. We present an open source Python toolbox applied to transmission and fluorescence 2D/3D images, obtained with a variety of techniques such as Confocal and Single Plane Illumination Microscopy (SPIM). Using glioblastoma multicellular spheroids, we were able to quantify their morphology through time with automatic segmentation based on object recognition. We hope to, by making this tool available to the scientific community, improve 3D cell culture characterization to assess the effect of drug screening assays.