Deep convolutional neural network for unbiased classification of amyloid fibrils from salt crystals

Image source: “New clues illuminate Alzheimer’s roots”-

I am using machine learning in python along with the use of libraries such as Tensorflow and scikit-learn. Recently I re-trained the Google’s inception model to learn and classify what microscopic images look like for amyloid fibrils and for samples one thinks as fibrils but are salt crystals from a buffer solution of NaCl.  The system was designed to provide an unbiased classification(removing expert bias). The Google’s inception model v3 was re-trained on thousands of images of amyloid fibrils and salt crystals taken from peer reviewed journals.


Results of running sample cases