![[VIS19 Preview] Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel... from tree in network analysis Video Screenshot Preview](https://cdn1.hifimov.co/picture/original/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol8-ZGDlAGLkZmZgZwxkL_D-Z_EwLzH3AwuxZTHlBQOuLGSwAmqxATD5ATZ-Mwx5ZwRkMzZmLwV1AJWuLGpjZmVlMQR-MQEvBGD-ZF1xKmVjZUtkAGNcXltbFTyTnH1iqv5wolysBQR0ZwH_ZGZmYGV5ZJAxBQAxL_WyAmL-MQOyZwtjLJRkLmp3MQExBGEwBTL5BGVkZJMwZ_VlAGIvLJR3ZQZlZzDkBTD0Lwx0BQRgMP0lZQO-ZGHj/(HiFiMov.co)_vis19-preview-facetto-combining-unsupervised-and-supervised-learning-for-hierarchical-phenotype-analysis-in-multi-channe.jpg "[VIS19 Preview] Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel... from tree in network analysis Video Screenshot Preview")
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⏲ Duration: 30 sec
✓ Published: 16-Sep-2019
✓ Published: 16-Sep-2019
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Authors: Robert Krüger, Johanna Beyer, Won-Dong Jang, Nam Wook Kim, Artem Sokolov, Peter Sorger, Hanspeter PfisternnAbstract: Facetto is a scalable visual analytics application to discover single-cell phenotypes in high-dimensional multi-channel microscopy images of tumor and other tissue samples. This data is collected using Cyclic Immuno-Fluorescence (CyCIF), an optical microscopy method that obtains detailed images of the tumor micro-environment for better diagnostics and therapies. The resu
Authors: Robert Krüger, Johanna Beyer, Won-Dong Jang, Nam Wook Kim, Artem Sokolov, Peter Sorger, Hanspeter PfisternnAbstract: Facetto is a scalable visual analytics application to discover single-cell phenotypes in high-dimensional multi-channel microscopy images of tumor and other tissue samples. This data is collected using Cyclic Immuno-Fluorescence (CyCIF), an optical microscopy method that obtains detailed images of the tumor micro-environment for better diagnostics and therapies. The resu
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