no code implementations • 20 Jan 2020 • Yijie Zhang, Kevin De Haan, Yair Rivenson, Jingxi Li, Apostolos Delis, Aydogan Ozcan
This approach uses a single deep neural network that receives two different sources of information at its input: (1) autofluorescence images of the label-free tissue sample, and (2) a digital staining matrix which represents the desired microscopic map of different stains to be virtually generated at the same tissue section.
