北京生物醫(yī)學(xué)工程

曲線擬合在血細(xì)胞分析中的應(yīng)用

The Application of Curve Fitting among Analysis of Blood Cells

作者：吳義滿

單位：鹽城衛(wèi)生職業(yè)技術(shù)學(xué)院(江蘇鹽城224000)

分類號(hào)：

出版年·卷·期（頁(yè)碼）：2011·30·6（578-581）

摘要：

目的常見的血細(xì)胞分析儀測(cè)試誤差比較大。為減小血細(xì)胞的測(cè)試誤差，可以用Matlab進(jìn)行曲線擬合的方法修正。方法本文提出了用曲線擬合來(lái)修正血小板計(jì)數(shù)的測(cè)試誤差和庫(kù)爾特原理誤差。結(jié)果通過(guò)兩個(gè)實(shí)例證明了曲線擬合修正血細(xì)胞的測(cè)試誤差是可行和有效的。結(jié)論利用Matlab曲線擬合修正血細(xì)胞的測(cè)試誤差有一定實(shí)際意義。

Objective The measurement error is fairly great in blood cell analyzer at present. To reduce the error, the curve fitting model based on Matlab is supposed to be applied. Methods The errors of the platelet count in measurement and Coulter theory were corrected with the method of curve fitting in this paper. Results The two examples with curve fitting method were completed and their results indicated that curve fitting based on Matlab was feasible and valid for correcting the errors from measurements. Conclusions Curve fitting based on Matlab is useful to correct the measurement error of blood cells.

參考文獻(xiàn)：

［1］于海東．測(cè)試數(shù)據(jù)的曲線擬合［J］．電腦學(xué)習(xí)，2004(2)：49-50．
［2］閆旭琴，鄭永果，王本剛.基于曲線擬合算法的超聲造影定量分析［J］.北京生物醫(yī)學(xué)工程，2007，26（3）：263-265.
［3］蘇金明,張蓮花．MATLAB工具箱應(yīng)用［M］．北京：電子工業(yè)出版社，2004.
［4］王沫然．Matlab與科學(xué)計(jì)算［M］. 第2版.北京：電子工業(yè)出版社，2003．

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