
Label-free molecular profiling for identification of biomarkers in carcinogenesis using multimodal multiphoton imaging
Author(s) -
Yuan Liu,
Haohua Tu,
Sixian You,
Eric J. Chaney,
Marina Marjanović,
Stephen A. Boppart
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.04.16
Subject(s) - molecular imaging , carcinogenesis , computational biology , profiling (computer programming) , tumor microenvironment , computer science , cancer , cancer research , biology , tumor cells , genetics , in vivo , operating system
Label-free molecular profiling, imaging, and analysis are of particular interest in cancer biology for detecting subtle biochemical changes during cancer progression and potentially during cancer treatment. Multimodal, multiphoton imaging that combines diverse molecular contrasts derived from different physical mechanisms can improve our understanding of the tumor microenvironment.