E
Erin Soon
Researcher at Stanford University
Publications - 5
Citations - 205
Erin Soon is an academic researcher from Stanford University. The author has contributed to research in topics: Cell morphology & Segmentation. The author has an hindex of 2, co-authored 4 publications receiving 29 citations.
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Journal ArticleDOI
Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning.
Noah F. Greenwald,Geneva Miller,Erick Moen,Alex Kong,Adam Kagel,Thomas Dougherty,Christine Camacho Fullaway,Brianna J. McIntosh,Ke Xuan Leow,Morgan Schwartz,Cole Pavelchek,Cole Pavelchek,Sunny Cui,Sunny Cui,Isabella Camplisson,Omer Bar-Tal,Jaiveer Singh,Mara Fong,Mara Fong,Gautam Chaudhry,Zion Abraham,Jackson Moseley,Shiri Warshawsky,Erin Soon,Shirley Greenbaum,Tyler Risom,Travis J. Hollmann,Sean C. Bendall,Leeat Keren,William Graf,Michael Angelo,David Van Valen +31 more
TL;DR: TissueNet as mentioned in this paper is a dataset for training segmentation models that contains more than 1 million manually labeled cells, an order of magnitude more than all previously published segmentation training datasets.
Posted ContentDOI
Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning
Noah F. Greenwald,Geneva Miller,Erick Moen,Alex Kong,Adam Kagel,Christine Camacho Fullaway,Brianna J. McIntosh,Ke Leow,Morgan Schwartz,Thomas Dougherty,Cole Pavelchek,Cole Pavelchek,Sunny Cui,Sunny Cui,Isabella Camplisson,Omer Bar-Tal,Jaiveer Singh,Mara Fong,Gautam Chaudhry,Zion Abraham,Jackson Moseley,Shiri Warshawsky,Erin Soon,Shirley Greenbaum,Tyler Risom,Travis J. Hollmann,Leeat Keren,William Graf,Michael Angelo,David Van Valen +29 more
TL;DR: Mesmer as mentioned in this paper is a deep learning-enabled segmentation algorithm trained on TissueNet that performs nuclear and whole-cell segmentation in tissue imaging data, which can be adapted to harness cell lineage information present in highly multiplexed datasets.
Posted ContentDOI
Spatio-temporal coordination at the maternal-fetal interface promotes trophoblast invasion and vascular remodeling in the first half of human pregnancy
Shirley Greenbaum,Shirley Greenbaum,Inna Averbukh,Erin Soon,Gabrielle Rizzuto,Alex Baranski,Noah F. Greenwald,Marc Bosse,Eleni Greenwood Jaswa,Zumana Khair,Shirley Kwok,Shiri Warshawsky,Geneva Miller,Morgan Schwartz,Will Graf,David Van Valen,Leeat Keren,Travis J. Hollmann,Matt van de Rijn,Michael Angelo +19 more
TL;DR: In this paper, the authors used multiplexed ion beam imaging by time of flight with a 37-plex antibody panel to build the first spatio-temporal atlas of the human maternal-fetal interface in the first half of pregnancy at single-cell resolution.
Journal ArticleDOI
An engineered ligand trap inhibits leukemia inhibitory factor as pancreatic cancer treatment strategy.
Sean A. Hunter,Brianna J. McIntosh,Yu Shi,R Andres Parra Sperberg,Chie Funatogawa,Louai Labanieh,Erin Soon,Hannah C Wastyk,Nishant Mehta,Catherine Carter,Tony Hunter,Jennifer R. Cochran +11 more
TL;DR: In this paper, a high affinity soluble human-LIF receptor decoy that sequesters human LIF and inhibits its signaling was proposed as a therapeutic strategy. But the decoy was not shown to be effective in treating pancreatic cancer.
Journal ArticleDOI
A spatially resolved timeline of the human maternal–fetal interface
Shirley Greenbaum,Inna Averbukh,Erin Soon,Gabrielle Rizzuto,Alex Baranski,Noah F. Greenwald,Adam Kagel,Marc Bossé,Eleni Greenwood Jaswa,Zumana Khair,S. Warshawsky,Hadeesha Piyadasa,Geneva Miller,Morgan Schwartz,William Graf,David Van Valen,Virginia D. Winn,Travis J. Hollmann,Leeat Keren,Matthijs van de Rijn,Michael Angelo +20 more