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通过全自动图像分析对丝状微生物进行形态测量。

Morphological measurements on filamentous microorganisms by fully automatic image analysis.

机构信息

SERC Centre for Biochemical Engineering, Department of Chemical and Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE.

出版信息

Biotechnol Bioeng. 1990 Apr 15;35(9):870-81. doi: 10.1002/bit.260350904.

Abstract

Characterization of mycelial morphology is important for physiological and engineering studies of filamentous fermentations, and in the design and operation of such fermentations. Image analysis has been developed as a method for this characterization, and has been shown to be faster and generally more accurate than previous methods. A fully automatic system has been developed, in which speed is gained, but with loss of accuracy in some cases. The method has been tested on Streptomyces clavuligerus and Penicillium chrysogenum P1 batch fermentations. It has also been tested on a fed-batch Penicillium chrysogenum P2 fermentation, in which the medium contained solid ingredients. Fully automatic image analysis for morphological characterization of filamentous microorganisms is an important development which will make practical many engineering and physiological studies of such fermentations that have so far not been completely satisfactory.

摘要

丝状发酵的生理和工程研究以及此类发酵的设计和操作都需要对菌丝形态进行特征描述,图像分析已经作为一种该特征描述的方法被开发出来,并且已经被证明比以前的方法更快且通常更准确。一个全自动系统已经被开发出来,该系统虽然提高了速度,但在某些情况下准确性会有所降低。该方法已经在棒状链霉菌和产黄青霉 P1 分批发酵中进行了测试。它也已经在含有固体成分的产黄青霉 P2 补料分批发酵中进行了测试。全自动图像分析丝状微生物的形态特征是一个重要的发展,它将使目前尚未完全令人满意的此类发酵的许多工程和生理研究变得切实可行。

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