Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison.

Tomas VicarJan BalvanJosef JarosFlorian JugRadim KolarMichal MasarikJaromir Gumulec

Published in: BMC bioinformatics (2019)

We demonstrate that image reconstruction step allows the use of segmentation methods not originally intended for label-free imaging. In addition to the comprehensive comparison of methods, raw and reconstructed annotated data and Matlab codes are provided.

Keyphrases

label free
deep learning
convolutional neural network
high resolution
magnetic resonance
electronic health record
big data
stem cells
magnetic resonance imaging
artificial intelligence
mass spectrometry
bone marrow
computed tomography
single molecule