Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body

Chenchen Pan, Oliver Schoppe, Arnaldo Parra-Damas, Ruiyao Cai, Mihail Ivilinov Todorov, Gabor Gondi, Bettina von Neubeck, Nuray Böğürcü-Seidel, Sascha Seidel, Katia Sleiman, Christian Veltkamp, Benjamin Förstera, Hongcheng Mai, Zhouyi Rong, Omelyan Trompak, Alireza Ghasemigharagoz, Madita Alice Reimer, Angel M. Cuesta, Javier Coronel, Irmela JeremiasDieter Saur, Amparo Acker-Palmer, Till Acker, Boyan K. Garvalov, Bjoern Menze, Reinhard Zeidler, Ali Ertürk

Research output: Contribution to journalArticlepeer-review

152 Scopus citations

Abstract

Deep learning-based automated detection and quantification of micrometastases and therapeutic antibody targeting down to the level of single disseminated cancer cells provides unbiased analysis of multiple metastatic cancer models at the full-body scale.

Original languageEnglish
Pages (from-to)1661-1676.e19
JournalCell
Volume179
Issue number7
DOIs
StatePublished - 12 Dec 2019

Keywords

  • antibody
  • cancer
  • deep learning
  • drug targeting
  • imaging
  • light-sheet
  • metastasis
  • microscopy
  • tissue clearing
  • vDISCO

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