Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy

• Published in: Journal of cell science Vol. 135; no. 3
• Main Authors: Kölln, Lisa Sophie, Salem, Omar, Valli, Jessica, Hansen, Carsten Gram, McConnell, Gail
• Format: Journal Article
• Language: English
• Published: England The Company of Biologists Ltd 01.02.2022
• Subjects: Cellular Structures; Image Processing, Computer-Assisted - methods; Imaging; Microscopy, Fluorescence; Neural Networks, Computer; Tools in Cell Biology; Content-aware image restoration; Noise2noise; Antibody labelling; Convolutional neural networks; Fluorescence microscopy; Cellular structures

Immunofluorescence microscopy is routinely used to visualise the spatial distribution of proteins that dictates their cellular function. However, unspecific antibody binding often results in high cytosolic background signals, decreasing the image contrast of a target structure. Recently, convolution...