北京生物醫(yī)學(xué)工程

顯微熒光去卷積成像評(píng)價(jià)方法的研究

Quality assessment of the deconvolution algorithms for fluorescence images

作者：孔藝穎錢(qián)翔方濱葉大田

單位：                      清華大學(xué)深圳研究生院深圳市無(wú)損檢測(cè)與微創(chuàng)醫(yī)學(xué)重點(diǎn)實(shí)驗(yàn)室（廣東深圳518055）        

關(guān)鍵詞：熒光顯微成像；去卷積；圖像質(zhì)量評(píng)價(jià)

分類(lèi)號(hào)：

出版年·卷·期（頁(yè)碼）：2014·33·4（374-378）

摘要：

目的為了降低熒光顯微圖像的噪聲和離焦平面的信息，提高圖像清晰度，并評(píng)價(jià)去卷積成像方法的性能，本文進(jìn)行顯微熒光去卷積成像評(píng)價(jià)方法的研究。方法首先，將測(cè)得的系統(tǒng)點(diǎn)擴(kuò)散函數(shù)作用于共聚焦顯微鏡采集的endoG-GFP標(biāo)記的人乳腺癌細(xì)胞MCF-7圖像，得到模糊圖像，然后采用Richardson-Lucy(R-L)算法對(duì)模糊的熒光圖像進(jìn)行去卷積運(yùn)算，并對(duì)去卷積成像方法的性能進(jìn)行了分析和評(píng)估。結(jié)果顯微熒光去卷積成像方法可有效去除焦平面外熒光信息，顯著提高熒光圖像的清晰度。結(jié)論顯微熒光去卷積算法結(jié)合有效的評(píng)價(jià)方法在未來(lái)有望用于微流控細(xì)胞培養(yǎng)的成像，對(duì)活體細(xì)胞和組織的三維結(jié)構(gòu)的研究有一定的參考價(jià)值。

Objective In order to reduce the noise and out-of-focus fluorescence information of fluorescence microscopy images, and to evaluate the performance of deconvolution imaging method, this paper proposed a method to evaluate the image quality of the deconvolution algorithms for fuorescence images. Methods In this paper, the fluorescence MCF-7 images obtained from a confocal laser-scanning microscope system were convoluted by the point spread function (PSF) to get the blurred fluorescence images that were treated as the convolution procedures of the original fluorescence light sources with the PSF of the imaging system. The Richardson-Lucy (R-L) algorithm was applied to the deconvolution methods of the blurred images. Results The algorithm could solve the convolution model of the fluorescence microscope imaging system and reduce the fluorescence light from out-of-focus planes. The best result of current experiments nearly approached the image quality of the CLSM system. Conclusions The R-L deconvolution algorithm combined with effective evaluation methods is expected to be applied to microfluidic cell culture imaging, and have a certain reference value to the study on the three-dimensional structure of living cells and tissues.

參考文獻(xiàn)：

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