Cargando…
High-plex immunofluorescence imaging and traditional histology of the same tissue section for discovering image-based biomarkers
Precision medicine is critically dependent on better methods for diagnosing and staging disease and predicting drug response. Histopathology using hematoxylin and eosin (H&E)-stained tissue (not genomics) remains the primary diagnostic method in cancer. Recently developed highly multiplexed tiss...
Autores principales: | Lin, Jia-Ren, Chen, Yu-An, Campton, Daniel, Cooper, Jeremy, Coy, Shannon, Yapp, Clarence, Tefft, Juliann B., McCarty, Erin, Ligon, Keith L., Rodig, Scott J., Reese, Steven, George, Tad, Santagata, Sandro, Sorger, Peter K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368530/ https://www.ncbi.nlm.nih.gov/pubmed/37349501 http://dx.doi.org/10.1038/s43018-023-00576-1 |
Ejemplares similares
-
Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes
por: Lin, Jia-Ren, et al.
Publicado: (2018) -
Highly multiplexed immunofluorescence images and single-cell data of immune markers in tonsil and lung cancer
por: Rashid, Rumana, et al.
Publicado: (2019) -
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) -
Stitching and registering highly multiplexed whole-slide images of tissues and tumors using ASHLAR
por: Muhlich, Jeremy L, et al.
Publicado: (2022) -
UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues
por: Yapp, Clarence, et al.
Publicado: (2022)