UC San Francisco neuroscientist Steven Finkbeiner, a team from Google and researchers at Gladstone Institutes have developed an artificial intelligence algorithm capable of distinguishing brain cells without the need for fluorescent labels. According to a study published in the journal Cell, the team used deep learning to create a vast dataset of images and taught the algorithm how to identify different types of cell, whether living or dead, as well as differentiate between axons and dendrites and find cells' nucleus. The method eliminates the requirement for time-consuming and sometimes damaging human labelling of cells.
UC San Francisco neuroscientist Steven Finkbeiner, a team from Gladstone Institutes and researchers at Google have developed an artificial intelligence algorithm capable of distinguishing brain cells without the need for fluorescent labels. According to a study published in the journal Cell, the team used deep learning to create a vast dataset of images and taught the algorithm how to identify different types of cell, whether living or dead, as well as differentiate between axons and dendrites and find cells' nucleus. The method eliminates the requirement for time-consuming and sometimes damaging human labelling of cells.