CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images.

Michael Y LeeJacob S Bedia Salil S Bhate Graham L Barlow Darci J Phillips Wendy J Fantl Garry P Nolan Christian M Schürch

Published in: BMC bioinformatics (2022)

CellSeg is a robust cell segmentation software for analyzing highly multiplexed tissue images, accessible to biology researchers of any programming skill level.

Keyphrases

convolutional neural network
deep learning
single cell
data analysis
cell therapy
machine learning
single molecule
resistance training
stem cells
body composition
energy transfer
bone marrow
mesenchymal stem cells
high intensity