Semi‐automated background removal limits data loss and normalizes imaging mass cytometry data-Reference-Cited by-同舟云学术

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Semi‐automated background removal limits data loss and normalizes imaging mass cytometry data

Published:2021-07-10 Issue:12 Volume:99 Page:1187-1197
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry Pt A

Author:

Ijsselsteijn Marieke E.¹^ORCID,Somarakis Antonios²,Lelieveldt Boudewijn P. F.²,Höllt Thomas³⁴,Miranda Noel F. C. C.¹

Affiliation:

1. Department of Pathology Leiden University Medical Center Leiden The Netherlands

2. Department of Radiology Leiden University Medical Center Leiden The Netherlands

3. Computer Graphics and Visualization, EEMCS, TU Delft Delft The Netherlands

4. Leiden Computational Biology Center Leiden University Medical Center Leiden The Netherlands

Funder

H2020 European Research Council

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24480

Reference28 articles.

1. High-dimensional cytometric analysis of colorectal cancer reveals novel mediators of antitumour immunity

2. Mass cytometry reveals systemic and local immune signatures that distinguish inflammatory bowel diseases

3. Memory CD4+ T cells are generated in the human fetal intestine

4. Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum

5. Cytometry by Time-of-Flight Shows Combinatorial Cytokine Expression and Virus-Specific Cell Niches within a Continuum of CD8+ T Cell Phenotypes

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