Noise Adjusted Principal Component reconstruction to optimize infrared microspectroscopy of individual live cells.
Noise Adjusted Principal Component reconstruction to optimize infrared microspectroscopy of individual live cells.
复制标题
噪声调整主成分重建可优化单个活细胞的红外显微光谱。
DOI：
10.1039/c2an15868j
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Diem,Max
中科院分区：
文献类型：
--
作者：
Marcsisin,EllenJ;Uttero,ChristinaM;Mazur,AntonellaI;Miljkovic,Milos;Bird,Benjamin;Diem,Max
We have optimized an imaging methodology capable of monitoring individual live HeLa cells using non-synchrotron FTIR in an aqueous environment. This methodology, in combination with MATLAB based pre-processing techniques, allows fast and efficient collection of data with high signal-to-noise ratio in comparison with previous methods using point mode data collection, which required manual operation and more collection time. Also, presented are early results that illustrate interpretable spectral differences from live cells treated with chemotherapeutic drugs, demonstrating the potential of this methodology to develop more desirable modes of treatment for patients in their diagnoses and treatments for disease.
