JoVE
JoVE
Faculty Resource Center
Research
Behavior
Biochemistry
Biology
Bioengineering
Cancer Research
Chemistry
Developmental Biology
Engineering
Environment
Genetics
Immunology and Infection
Medicine
Neuroscience
JoVE Journal
JoVE Encyclopedia of Experiments
JoVE Chrome Extension
Education
Biology
Chemistry
Clinical
Engineering
Environmental Sciences
Pharmacology
Physics
Psychology
Statistics
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to your Course
Authors
Librarians
High Schools
About
Sign-In
Sign In
Contact Us
Research
JoVE Journal
JoVE Encyclopedia of Experiments
Education
JoVE Core
JoVE Science Education
JoVE Lab Manual
High Schools
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Close
Research
Behavior
Biochemistry
Bioengineering
Biology
Cancer Research
Chemistry
Developmental Biology
Engineering
Environment
Genetics
Immunology and Infection
Medicine
Neuroscience
Products
JoVE Journal
JoVE Encyclopedia of Experiments
Education
Biology
Chemistry
Clinical
Engineering
Environmental Sciences
Pharmacology
Physics
Psychology
Statistics
Products
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to Your Course
Teacher Resources
Get in Touch
Instant Trial
Log In
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Journal
/
Cancer Research
/
Mapping the Tumor Immune Landscape: An In-Depth Multiplex IHC Analysis Protocol
/
Workflow for Immune Cells Detection Using the Machine Learning Algorithm ImmuNet
JoVE Journal
Cancer Research
This content is Free Access.
JoVE Journal
Cancer Research
Workflow for Immune Cells Detection Using the Machine Learning Algorithm ImmuNet
Workflow for Immune Cells Detection Using the Machine Learning Algorithm ImmuNet
Mapping the Tumor Immune Landscape: An In-Depth Multiplex IHC Analysis Protocol
DOI:
10.3791/201909-v
•
05:25 min
•
August 18, 2023
•
Mark A. J. Gorris
2
,
Evgenia Martynova*
1,3
,
Mark W. D. Sweep*
1,4
,
Iris A. E. van der Hoorn
5
,
Shabaz Sultan
3
,
Mike J. D. E. Claassens
,
Lieke L. van der Woude
2,6
,
Kiek Verrijp
2,6
,
Carl G. Figdor
3
,
Johannes Textor
3
,
I. Jolanda M. de Vries
1
Department of Medical BioSciences
,
Radboudumc
,
2
Division of Immunotherapy, Oncode Institute
,
Radboudumc
,
3
Data Science, Institute for Computing and Information Sciences
,
Radboud University
,
4
Department of Medical Oncology
,
Radboudumc
,
5
Department of Pulmonary Diseases
,
Radboudumc
,
6
Department of Pathology
,
Radboudumc
Tags
Cancer Research
Immune Cell Landscape
Spatial Analysis
Lymphocytes
Myeloid Cells
Dendritic Cells
Machine Learning
ImmuNet
Diagnostic Application
Embed
ADD TO PLAYLIST
Usage Statistics
Related Videos
Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors
Workflow for Immune Cells Detection Using the Machine Learning Algorithm ImmuNet
Read Article