한빛사 논문
Intan Rosalina Suhitoa,1, Yoojoong Hanb,1, Yong-Sang Ryuc, Hyungbin Sona,*, Tae-Hyung Kima,d,*
aSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, South Korea
bR&D Division, Nanobase, Inc., Seoul, South Korea
cSensor System Research Center, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
dIntegrative Research Center for Two-Dimensional Functional Materials, Institute of Interdisciplinary Convergence Research, Chung-Ang University, Seoul, 06974, South Korea
1These authors contributed equally to the work.
*Corresponding author.
Abstract
Stem cell-based therapies have recently emerged to treat various incurable diseases and disorders. Types of stem cell-derived cells and their functions should be intensively analyzed before therapy. However, current pre-treatment steps for biological analysis are mostly destructive. Here, we report a novel optical method that enables ultra-fast and label-free characterization of cells, eliminating invasive, destructive steps. The technique, referred to as “autofluorescence-Raman mapping integration (ARMI)” analysis uses cell autofluorescence (AF) to reveal cellular morphology and cytosolic microstructures, while Raman mapping allows site-specific intensive analysis of target molecules, which enables ultra-fast identification of cell types. We used human mesenchymal stem cells (MSCs) as a model and induced adipogenesis. Lipid droplets in cells appeared as “blanks” in three-dimensional AF images and site-specific Raman mapping guided by AF identified the structure and components of the CH2 stretch. Adipogenesis could be rapidly and precisely analyzed, not only for the same batch but also for different batches. Therefore, the developed tool is highly useful for the accurate screening of stem cell differentiation and implementation in biomedical and clinical applications.
논문정보
관련 링크
연구자 키워드
관련분야 연구자보기
소속기관 논문보기
관련분야 논문보기