Costello P J, Monk P R
Appl Environ Microbiol. 1985 Apr;49(4):863-6. doi: 10.1128/aem.49.4.863-866.1985.
An image analysis system which incorporates a microscope, video camera, monitor, and Apple computer and which uses image area to count Saccharomyces cerevisiae cells is described and evaluated. Yeast cell suspensions of densities of up to 100 X 10(6) cells per ml can be counted when viewed in the counting chamber of a hemacytometer. The yeast image area measured depends upon the light intensity used to illuminate the yeast cells, the sharpness of the image focused on the monitor, and the grey level selected when scanning the digitized image on the monitor of the Apple computer, all of which can be controlled. The image area also depends upon the yeast strain and medium in which the culture is grown, but it is not affected by the concentration of sugar or ethanol in which the yeast cells are suspended. Yeast growth measured by image analysis can be calibrated to give results similar to those obtained with hemacytometer counting. Yeast cells can be counted in the presence of high cell densities of bacteria by adjusting the grey level at which the digitized image is scanned.
本文描述并评估了一种图像分析系统，该系统包含显微镜、摄像机、显示器和苹果电脑，利用图像面积对酿酒酵母细胞进行计数。当在血细胞计数板的计数室中观察时，密度高达每毫升100×10⁶个细胞的酵母细胞悬液可以被计数。所测量的酵母图像面积取决于用于照亮酵母细胞的光强度、聚焦在显示器上的图像清晰度以及在苹果电脑显示器上扫描数字化图像时选择的灰度级，所有这些都可以控制。图像面积还取决于酵母菌株以及培养所用的培养基，但不受酵母细胞悬浮其中的糖或乙醇浓度的影响。通过图像分析测量的酵母生长可以进行校准，以给出与血细胞计数板计数获得的结果相似的结果。通过调整扫描数字化图像时的灰度级，可以在存在高细胞密度细菌的情况下对酵母细胞进行计数。
