BCAbox Algorithm Expands Capabilities of Raman Microscope for Single Organelles Assessment

Biosensors

AndreyN. Kuzmin¹  Artem Pliss¹  Adrian Lita²  Mioara Larion²  Alex Rzhevskii³ 

[1] Advanced Cytometry Instrumentation Systems, LLC, Buffalo, NY 14203, USA;Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA;Thermo Fisher Scientific, Waltham, MA 02451, USA;

关键词: Raman spectrometry;    microscopy;    biomolecular analysis;    single cell assay;   

DOI  :  10.3390/bios8040106

来源: DOAJ

【 摘 要 】

Raman microspectroscopy is a rapidly developing technique, which has an unparalleled potential for in situ proteomics, lipidomics, and metabolomics, due to its remarkable capability to analyze the molecular composition of live cells and single cellular organelles. However, the scope of Raman spectroscopy for bio-applications is limited by a lack of software tools for express-analysis of biomolecular composition based on Raman spectra. In this study, we have developed the first software toolbox for immediate analysis of intracellular Raman spectra using a powerful biomolecular component analysis (BCA) algorithm. Our software could be easily integrated with commercial Raman spectroscopy instrumentation, and serve for precise analysis of molecular content in major cellular organelles, including nucleoli, endoplasmic reticulum, Golgi apparatus, and mitochondria of either live or fixed cells. The proposed software may be applied in broad directions of cell science, and serve for further advancement and standardization of Raman spectroscopy.

【 授权许可】

Unknown