In Support of: Label-free cell segmentation of diverse lymphoid tissues in 2-D and 3-D

ABSTRACT: 20221212 Code and image-data supporting the 2-D and 3-D label-free cell segmentation method demonstrated in the paper "Label-free cell segmentation of diverse lymphoid tissues in 2-D and 3-D".2022 Five zip files are available for download: 1 - Standalone software. This allows deployment of the method using precompiled Windows software to generate the label-free probability maps with no programming required. (~2.77GB including image-data) 2 - MATLAB version. This provides the data and code necessary to reproduce the methods shown in the paper using MATLAB and the Deep Learning Toolbox (~7GB including image-data). 3 - Python version. This provides the data and code necessary to reproduce the methods shown in the paper using the Python programming language using TensorFlow / Keras (~8GB

ORGANISM(S): Mus musculus (mouse)

SUBMITTER:  

PROVIDER: S-BSST742 | bioimages |

REPOSITORIES: bioimages