Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX
Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX
About this item
Full title
Author / Creator
Magness, Alastair , Colliver, Emma , Enfield, Katey S. S. , Lee, Claudia , Shimato, Masako , Daly, Emer , Moore, David A. , Sivakumar, Monica , Valand, Karishma , Levi, Dina , Hiley, Crispin T. , Hobson, Philip S. , van Maldegem, Febe , Reading, James L. , Quezada, Sergio A. , Downward, Julian , Sahai, Erik , Swanton, Charles and Angelova, Mihaela
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
The growing scale and dimensionality of multiplexed imaging require reproducible and comprehensive yet user-friendly computational pipelines. TRACERx-PHLEX performs deep learning-based cell segmentation (deep-imcyto), automated cell-type annotation (TYPEx) and interpretable spatial analysis (Spatial-PHLEX) as three independent but interoperable mod...
Alternative Titles
Full title
Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX
Authors, Artists and Contributors
Author / Creator
Colliver, Emma
Enfield, Katey S. S.
Lee, Claudia
Shimato, Masako
Daly, Emer
Moore, David A.
Sivakumar, Monica
Valand, Karishma
Levi, Dina
Hiley, Crispin T.
Hobson, Philip S.
van Maldegem, Febe
Reading, James L.
Quezada, Sergio A.
Downward, Julian
Sahai, Erik
Swanton, Charles
Angelova, Mihaela
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f61b4b8bd2f54cbd9679706490019396
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f61b4b8bd2f54cbd9679706490019396
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-48870-5
