Method for analyzing neuronal patterns in Golgi-stained images

Abstract

A first aspect of this disclosure is related to a computer-implemented method for identifying neuronal patterns in an image, comprising the steps: obtaining a first data set with Golgi-stained neuronal structures; based on the first data set, determining a first auxiliary data set, AR1, based on a first type of neuronal structure and a second auxiliary data set, AR2, based on a second type of neuronal structure; analyzing AR1 with a first method to identify information related to the first type of neuronal structure in AR1; analyzing AR2 with a second method to identify information related to the second type of neuronal structure in AR2; generating a second data set with the identified information related to the first and second type of neuronal structures.

Dependencies are inferred from the claim text.