A toolbox enabling a data-driven selection of regions of interest in tumor tissue sections for imaging mass cytometry analysis.

Daniel Schulz; Stephanie Renaud-Tissot; Robin Liechti; Nils Eling; Michelle Daniel; Jonas Windhager; Yervand Karapetyan; Thomas Mrowiec; Sylvie Rusakiewicz; Henoch S. Hong; Marie Morfouace; Bernd Bodenmiller

doi:10.1158/1538-7445.AM2021-2756

A toolbox enabling a data-driven selection of regions of interest in tumor tissue sections for imaging mass cytometry analysis.

Daniel Schulz, Stephanie Renaud-Tissot, Robin Liechti, Nils Eling, Michelle Daniel, Jonas Windhager, Yervand Karapetyan, Thomas Mrowiec, Sylvie Rusakiewicz, Henoch S. Hong, Marie Morfouace, Bernd Bodenmiller

Pathology Team

Research output: Contribution to conference › Abstract › peer-review

Original language	English
DOIs	https://doi.org/10.1158/1538-7445.AM2021-2756
Publication status	Published - Jul 2021
Event	Annual Meeting of the American Association for Cancer Research (AACR) 2021 Virtual - Duration: 10 Apr 2021 → 15 Apr 2021

Conference

Conference	Annual Meeting of the American Association for Cancer Research (AACR) 2021 Virtual
Period	10/04/21 → 15/04/21

Access to Document

10.1158/1538-7445.AM2021-2756

Cite this

Schulz, D., Renaud-Tissot, S., Liechti, R., Eling, N., Daniel, M., Windhager, J., Karapetyan, Y., Mrowiec, T., Rusakiewicz, S., Hong, H. S., Morfouace, M., & Bodenmiller, B. (2021). A toolbox enabling a data-driven selection of regions of interest in tumor tissue sections for imaging mass cytometry analysis.. Abstract from Annual Meeting of the American Association for Cancer Research (AACR) 2021 Virtual. https://doi.org/10.1158/1538-7445.AM2021-2756

@conference{428c146acb754ceb80ce79a59813c011,

title = "A toolbox enabling a data-driven selection of regions of interest in tumor tissue sections for imaging mass cytometry analysis.",

author = "Daniel Schulz and Stephanie Renaud-Tissot and Robin Liechti and Nils Eling and Michelle Daniel and Jonas Windhager and Yervand Karapetyan and Thomas Mrowiec and Sylvie Rusakiewicz and Hong, {Henoch S.} and Marie Morfouace and Bernd Bodenmiller",

note = "Cancer Research Volume: 81 Issue number: 13 suppl. Pages (from-to): Article number: 2756 ; Annual Meeting of the American Association for Cancer Research (AACR) 2021 Virtual ; Conference date: 10-04-2021 Through 15-04-2021",

year = "2021",

month = jul,

doi = "10.1158/1538-7445.AM2021-2756",

language = "English",

}

Schulz, D, Renaud-Tissot, S, Liechti, R, Eling, N, Daniel, M, Windhager, J, Karapetyan, Y, Mrowiec, T, Rusakiewicz, S, Hong, HS, Morfouace, M & Bodenmiller, B 2021, 'A toolbox enabling a data-driven selection of regions of interest in tumor tissue sections for imaging mass cytometry analysis.', Annual Meeting of the American Association for Cancer Research (AACR) 2021 Virtual, 10/04/21 - 15/04/21. https://doi.org/10.1158/1538-7445.AM2021-2756

TY - CONF

T1 - A toolbox enabling a data-driven selection of regions of interest in tumor tissue sections for imaging mass cytometry analysis.

AU - Schulz, Daniel

AU - Renaud-Tissot, Stephanie

AU - Liechti, Robin

AU - Eling, Nils

AU - Daniel, Michelle

AU - Windhager, Jonas

AU - Karapetyan, Yervand

AU - Mrowiec, Thomas

AU - Rusakiewicz, Sylvie

AU - Hong, Henoch S.

AU - Morfouace, Marie

AU - Bodenmiller, Bernd

N1 - Cancer Research Volume: 81 Issue number: 13 suppl. Pages (from-to): Article number: 2756

PY - 2021/7

Y1 - 2021/7

U2 - 10.1158/1538-7445.AM2021-2756

DO - 10.1158/1538-7445.AM2021-2756

M3 - Abstract

T2 - Annual Meeting of the American Association for Cancer Research (AACR) 2021 Virtual

Y2 - 10 April 2021 through 15 April 2021

ER -