ABSTRACT
Flow Cytometry acting as a popular technology based on single cell with high throughput and high content in all-round life science fields besides clinical diagnosis , has been launched for more than 52 years, With the advancement of fluidic path , photic path ( including novel labeling dye ) together with signal collection , transformation and algorithm et al .Particularly , traditional flow cytometry combined with mass spectrometry, microfluidic technology, image principle,Raman spectrometry and so on, resulted in flow cytometry being applied in hematology , immunology, oncology with an enhanced performance .Meanwhile, the improvement of standardization and quality control will boost the flow cytometry in clinical application .
ABSTRACT
A Raman spectrum fitting method based on Voigt function was proposed. The method can be used to fit the profile of Raman spectrum produced by unknown components in sample based on Voigt functions. In the experiment, pure methanol was added by various volume fraction ( 2. 5% -80. 0%) into three base-gasoline with different compositions. It can be applied to fit the background Raman spectrum produced by basic-gasoline comprised of unknown compositions. The remained spectrum, after deducting the fitted spectrum from the mixture spectrum, was considered as the contribution attributed only to methanol. And then a linear calibration model was built based on 4 training samples to predict the concentration of methanol. The root mean square error of prediction (RMSEP) was 1. 86% (V/V) and the correlation coefficient (R2) was 0. 987. Results show that it is an effective method to solve the problem of strong spectral overlap in mixture, and it has the advantages of high generalization and few training samples.