Chapter title |
Image Analysis of the Tumor Microenvironment.
|
---|---|
Chapter number | 1 |
Book title |
Systems Biology of Tumor Microenvironment
|
Published in |
Advances in experimental medicine and biology, October 2016
|
DOI | 10.1007/978-3-319-42023-3_1 |
Pubmed ID | |
Book ISBNs |
978-3-31-942021-9, 978-3-31-942023-3
|
Authors |
Mark C. Lloyd, Joseph O. Johnson, Agnieszka Kasprzak, Marilyn M. Bui |
Editors |
Katarzyna A. Rejniak |
Abstract |
In the field of pathology it is clear that molecular genomics and digital imaging represent two promising future directions, and both are as relevant to the tumor microenvironment as they are to the tumor itself (Beck AH et al. Sci Transl Med 3(108):108ra113-08ra113, 2011). Digital imaging, or whole slide imaging (WSI), of glass histology slides facilitates a number of value-added competencies which were not previously possible with the traditional analog review of these slides under a microscope by a pathologist. As an important tool for investigational research, digital pathology can leverage the quantification and reproducibility offered by image analysis to add value to the pathology field. This chapter will focus on the application of image analysis to investigate the tumor microenvironment and how quantitative investigation can provide deeper insight into our understanding of the tumor to tumor microenvironment relationship. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 20% |
Researcher | 5 | 20% |
Student > Doctoral Student | 3 | 12% |
Student > Master | 3 | 12% |
Student > Bachelor | 2 | 8% |
Other | 4 | 16% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 28% |
Computer Science | 3 | 12% |
Engineering | 2 | 8% |
Agricultural and Biological Sciences | 2 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Other | 7 | 28% |
Unknown | 3 | 12% |