Introduction ============ DeepFinder is an original deep learning approach to localize macromolecules in cryo electron tomography images. The method is based on image segmentation using a 3D convolutional neural network. Context ------- This method has been developed in the frame of **Emmanuel Moebel**'s PhD thesis at Inria Rennes, under **Charles Kervrann**'s supervision (team Serpico). If you are curious, you can access his PhD manuscript `here `_ , entitled "New strategies for the identification and enumeration of macromolecules in 3D images of cryo electron tomography". What DeepFinder is ------------------ DeepFinder is a python3 package that allows analysing **3D images** with a **deep learning** method. It possesses a **graphical user interface** to allow non-computer scientists to work with this tool. It is based on the Keras package.