Cargando…
Highly multiplexed immunofluorescence images and single-cell data of immune markers in tonsil and lung cancer
In this data descriptor, we document a dataset of multiplexed immunofluorescence images and derived single-cell measurements of immune lineage and other markers in formaldehyde-fixed and paraffin-embedded (FFPE) human tonsil and lung cancer tissue. We used tissue cyclic immunofluorescence (t-CyCIF)...
Autores principales: | Rashid, Rumana, Gaglia, Giorgio, Chen, Yu-An, Lin, Jia-Ren, Du, Ziming, Maliga, Zoltan, Schapiro, Denis, Yapp, Clarence, Muhlich, Jeremy, Sokolov, Artem, Sorger, Peter, Santagata, Sandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917801/ https://www.ncbi.nlm.nih.gov/pubmed/31848351 http://dx.doi.org/10.1038/s41597-019-0332-y |
Ejemplares similares
-
Stitching and registering highly multiplexed whole-slide images of tissues and tumors using ASHLAR
por: Muhlich, Jeremy L, et al.
Publicado: (2022) -
Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes
por: Lin, Jia-Ren, et al.
Publicado: (2018) -
Cell Spotter (CSPOT): A machine-learning approach to automated cell spotting and quantification of highly multiplexed tissue images
por: Nirmal, Ajit J., et al.
Publicado: (2023) -
HSF1 phase transition mediates stress adaptation and cell fate decisions
por: Gaglia, Giorgio, et al.
Publicado: (2020) -
UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues
por: Yapp, Clarence, et al.
Publicado: (2022)