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 journal › Meeting Abstract › peer-review

Original language	English
Journal	Cancer Research
Volume	81
Issue number	13 Suppl.
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

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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. Cancer Research, 81(13 Suppl.). https://doi.org/10.1158/1538-7445.AM2021-2756

@article{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",

year = "2021",

month = jul,

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

language = "English",

volume = "81",

journal = "Cancer Research",

issn = "0008-5472",

publisher = "American Association for Cancer Research Inc.",

number = "13 Suppl.",

note = "Annual Meeting of the American Association for Cancer Research (AACR) 2021 Virtual ; Conference date: 10-04-2021 Through 15-04-2021",

}

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.', Cancer Research, vol. 81, no. 13 Suppl. https://doi.org/10.1158/1538-7445.AM2021-2756

TY - JOUR

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

PY - 2021/7

Y1 - 2021/7

U2 - 10.1158/1538-7445.AM2021-2756

DO - 10.1158/1538-7445.AM2021-2756

M3 - Meeting Abstract

SN - 0008-5472

VL - 81

JO - Cancer Research

JF - Cancer Research

IS - 13 Suppl.

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

Y2 - 10 April 2021 through 15 April 2021

ER -