Mucor rouxii BCRC 30546是一可生產大量多元不飽和脂肪酸（Polyunsaturated Fatty Acids, PUFAs）之油質性真菌。這些多元不飽和脂肪酸油脂裡，富含了人體不可或缺的γ-次亞麻油酸（γ-Linolenic Acid，GLA）。在微生物生產多元不飽和脂肪酸的研究中，要分析其油脂含量與脂肪酸組成須花費許多時間與精力。本研究探討不同培養條件下M. rouxii的菌體生長、油脂含量與脂肪酸組成以及菌相變化，並利用數位化影像處理技術預測不同培養條件下M. rouxii的總油脂含量，以取代傳統油脂分析方法。
本研究利用平台式掃描器作為影像分析儀器，經一連串影像處理程序以及統計分析定義出總菌體面積，Af（Fungal Area Sum，cm2/ml broth）與幾何因子之分布偏態值，Sk（Skewness of ，dimensionless）。在培養實驗中，建立一總油脂含量預測方程式：L = 1.141×Af + 0.434×Sk + 0.289以預測不同培養條件下（Glucose 10-100 g/L、Corn steep solid 0.5-5 g/L、pH 3.5-7.5、20-35 oC、150-300 rpm）總油脂含量，誤差介於 -8.19∼12.19 %

Mucor rouxii BCRC 30546 is an oleaginous fungus producing considerable quantities of polyunsaturated fatty acids (PUFAs). γ-Linolenic acid (GLA) is one of essential fatty acid in the fungus. In researches about microbial PUFAs production, the analytical procedures of lipid content were complicated and time-consuming. In this work, we investigated the effects of various cultivation conditions on growth, morphology and lipid content and use a rapid analytical method, image analysis, to predict the fungal lipid productivity under various cultivation conditions and to replace the traditional microbial lipid analysis.
We scanned the morphology by a flatbed scanner and analyzed time-course image data to obtained an index of lipid prediction by correlate the two morphological parameters, fungal area sum (Af) and skewness value (Sk) of shape factor of Aea/(Perimeter2), with total lipid contents under various culture condition. The index was an 1st-order plane equation (L = 1.141×Af + 0.434×Sk + 0.289, R2 = 0.950, L: total lipid content (g/L)) and the error percentage was range of -8.19 - 12.19 %.

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